removing build files
This commit is contained in:
parent
803914bf07
commit
7034660af2
71 changed files with 0 additions and 4107 deletions
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@ -1,5 +0,0 @@
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This folder stores temp files that Docusaurus' client bundler accesses.
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DO NOT hand-modify files in this folder because they will be overwritten in the
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next build. You can clear all build artifacts (including this folder) with the
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`docusaurus clear` command.
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@ -1,427 +0,0 @@
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{
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"entrypoints": [
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"main"
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|
||||||
"js": [
|
|
||||||
{
|
|
||||||
"file": "assets/js/972.63d2dc82.js",
|
|
||||||
"hash": "c3658954bbd90141",
|
|
||||||
"publicPath": "/assets/js/972.63d2dc82.js"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"file": "assets/js/1be78505.f14058a9.js",
|
|
||||||
"hash": "f6bc67824331f1cf",
|
|
||||||
"publicPath": "/assets/js/1be78505.f14058a9.js"
|
|
||||||
}
|
|
||||||
]
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,7 +0,0 @@
|
||||||
export default [
|
|
||||||
require('/home/carlos/repo/logspace/langflow/docs/node_modules/infima/dist/css/default/default.css'),
|
|
||||||
require('/home/carlos/repo/logspace/langflow/docs/node_modules/@docusaurus/theme-classic/lib/prism-include-languages'),
|
|
||||||
require('/home/carlos/repo/logspace/langflow/docs/node_modules/@docusaurus/theme-classic/lib/nprogress'),
|
|
||||||
require('/home/carlos/repo/logspace/langflow/docs/src/css/custom.css'),
|
|
||||||
require('/home/carlos/repo/logspace/langflow/docs/node_modules/docusaurus-plugin-image-zoom/lib/zoom'),
|
|
||||||
];
|
|
||||||
|
|
@ -1 +0,0 @@
|
||||||
{}
|
|
||||||
|
|
@ -1,4 +0,0 @@
|
||||||
{
|
|
||||||
"title": "Recent posts",
|
|
||||||
"items": []
|
|
||||||
}
|
|
||||||
|
|
@ -1,4 +0,0 @@
|
||||||
{
|
|
||||||
"name": "docusaurus-plugin-content-blog",
|
|
||||||
"id": "default"
|
|
||||||
}
|
|
||||||
|
|
@ -1,4 +0,0 @@
|
||||||
{
|
|
||||||
"name": "docusaurus-plugin-content-docs",
|
|
||||||
"id": "default"
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "buffer-memory",
|
|
||||||
"id": "buffer-memory",
|
|
||||||
"title": "Buffer Memory",
|
|
||||||
"description": "For certain applications, retaining past interactions is crucial. For that, chains and agents may accept a memory component as one of their input parameters. The ConversationBufferMemory component is one of them. It stores messages and extracts them into variables.",
|
|
||||||
"source": "@site/docs/buffer-memory.mdx",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/buffer-memory",
|
|
||||||
"permalink": "/buffer-memory",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Conversation Chain",
|
|
||||||
"permalink": "/conversation-chain"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "MidJourney Prompt Chain",
|
|
||||||
"permalink": "/midjourney-prompt-chain"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "collection",
|
|
||||||
"id": "collection",
|
|
||||||
"title": "Collection",
|
|
||||||
"description": "A collection is a snapshot of the flows available in the database. You can download your entire collection for local storage and upload it anytime for future use.",
|
|
||||||
"source": "@site/docs/collection.mdx",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/collection",
|
|
||||||
"permalink": "/collection",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Features",
|
|
||||||
"permalink": "/features"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Conversation Chain",
|
|
||||||
"permalink": "/conversation-chain"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,19 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "community",
|
|
||||||
"id": "community",
|
|
||||||
"title": "Community",
|
|
||||||
"description": "🤖 Join LangFlow Discord server",
|
|
||||||
"source": "@site/docs/community.md",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/community",
|
|
||||||
"permalink": "/community",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "GitHub Issues",
|
|
||||||
"permalink": "/github-issues"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "components/agents",
|
|
||||||
"id": "components/agents",
|
|
||||||
"title": "Agents",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/agents.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/agents",
|
|
||||||
"permalink": "/components/agents",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Collection",
|
|
||||||
"permalink": "/guidelines/collection"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Chains",
|
|
||||||
"permalink": "/components/chains"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "components/chains",
|
|
||||||
"id": "components/chains",
|
|
||||||
"title": "Chains",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/chains.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/chains",
|
|
||||||
"permalink": "/components/chains",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Agents",
|
|
||||||
"permalink": "/components/agents"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Loaders",
|
|
||||||
"permalink": "/components/loaders"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "components/embeddings",
|
|
||||||
"id": "components/embeddings",
|
|
||||||
"title": "Embeddings",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/embeddings.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/embeddings",
|
|
||||||
"permalink": "/components/embeddings",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Loaders",
|
|
||||||
"permalink": "/components/loaders"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "LLMs",
|
|
||||||
"permalink": "/components/llms"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "components/llms",
|
|
||||||
"id": "components/llms",
|
|
||||||
"title": "LLMs",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/llms.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/llms",
|
|
||||||
"permalink": "/components/llms",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Embeddings",
|
|
||||||
"permalink": "/components/embeddings"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Memories",
|
|
||||||
"permalink": "/components/memories"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "components/loaders",
|
|
||||||
"id": "components/loaders",
|
|
||||||
"title": "Loaders",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/loaders.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/loaders",
|
|
||||||
"permalink": "/components/loaders",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Chains",
|
|
||||||
"permalink": "/components/chains"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Embeddings",
|
|
||||||
"permalink": "/components/embeddings"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "components",
|
|
||||||
"id": "components",
|
|
||||||
"title": "Component",
|
|
||||||
"description": "Components are the building blocks of the flows. They are made of inputs, outputs, and parameters that define their functionality, providing a convenient and straightforward way to compose LLM-based applications. Learn more about components and how they work in the LangChain documentation section.",
|
|
||||||
"source": "@site/docs/components.mdx",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/components",
|
|
||||||
"permalink": "/components",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "🎨 Creating Flows",
|
|
||||||
"permalink": "/getting-started/creating-flows"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Features",
|
|
||||||
"permalink": "/features"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "components/memories",
|
|
||||||
"id": "components/memories",
|
|
||||||
"title": "Memories",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/memories.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/memories",
|
|
||||||
"permalink": "/components/memories",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "LLMs",
|
|
||||||
"permalink": "/components/llms"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Prompts",
|
|
||||||
"permalink": "/components/prompts"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "components/prompts",
|
|
||||||
"id": "components/prompts",
|
|
||||||
"title": "Prompts",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/prompts.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/prompts",
|
|
||||||
"permalink": "/components/prompts",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Memories",
|
|
||||||
"permalink": "/components/memories"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Text Splitters",
|
|
||||||
"permalink": "/components/text-splitters"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "components/text-splitters",
|
|
||||||
"id": "components/text-splitters",
|
|
||||||
"title": "Text Splitters",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/text-splitters.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/text-splitters",
|
|
||||||
"permalink": "/components/text-splitters",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Prompts",
|
|
||||||
"permalink": "/components/prompts"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Toolkits",
|
|
||||||
"permalink": "/components/toolkits"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "components/toolkits",
|
|
||||||
"id": "components/toolkits",
|
|
||||||
"title": "Toolkits",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/toolkits.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/toolkits",
|
|
||||||
"permalink": "/components/toolkits",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Text Splitters",
|
|
||||||
"permalink": "/components/text-splitters"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Tools",
|
|
||||||
"permalink": "/components/tools"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "components/tools",
|
|
||||||
"id": "components/tools",
|
|
||||||
"title": "Tools",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/tools.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/tools",
|
|
||||||
"permalink": "/components/tools",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Toolkits",
|
|
||||||
"permalink": "/components/toolkits"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Utilities",
|
|
||||||
"permalink": "/components/utilities"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "components/utilities",
|
|
||||||
"id": "components/utilities",
|
|
||||||
"title": "Utilities",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/utilities.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/utilities",
|
|
||||||
"permalink": "/components/utilities",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Tools",
|
|
||||||
"permalink": "/components/tools"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Vector Stores",
|
|
||||||
"permalink": "/components/vector-stores"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "components/vector-stores",
|
|
||||||
"id": "components/vector-stores",
|
|
||||||
"title": "Vector Stores",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/vector-stores.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/vector-stores",
|
|
||||||
"permalink": "/components/vector-stores",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Utilities",
|
|
||||||
"permalink": "/components/utilities"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Wrappers",
|
|
||||||
"permalink": "/components/wrappers"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "components/wrappers",
|
|
||||||
"id": "components/wrappers",
|
|
||||||
"title": "Wrappers",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/wrappers.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/wrappers",
|
|
||||||
"permalink": "/components/wrappers",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Vector Stores",
|
|
||||||
"permalink": "/components/vector-stores"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Conversation Chain",
|
|
||||||
"permalink": "/examples/conversation-chain"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,19 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "contributing/community",
|
|
||||||
"id": "contributing/community",
|
|
||||||
"title": "Community",
|
|
||||||
"description": "🤖 Join LangFlow Discord server",
|
|
||||||
"source": "@site/docs/contributing/community.md",
|
|
||||||
"sourceDirName": "contributing",
|
|
||||||
"slug": "/contributing/community",
|
|
||||||
"permalink": "/contributing/community",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "GitHub Issues",
|
|
||||||
"permalink": "/contributing/github-issues"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "contributing/github-issues",
|
|
||||||
"id": "contributing/github-issues",
|
|
||||||
"title": "GitHub Issues",
|
|
||||||
"description": "Our issues page is kept up to date",
|
|
||||||
"source": "@site/docs/contributing/github-issues.md",
|
|
||||||
"sourceDirName": "contributing",
|
|
||||||
"slug": "/contributing/github-issues",
|
|
||||||
"permalink": "/contributing/github-issues",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "How to contribute?",
|
|
||||||
"permalink": "/contributing/how-contribute"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Community",
|
|
||||||
"permalink": "/contributing/community"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "contributing/how-contribute",
|
|
||||||
"id": "contributing/how-contribute",
|
|
||||||
"title": "How to contribute?",
|
|
||||||
"description": "👋 Hello there! We welcome contributions from developers of all levels to our open-source project on GitHub. If you'd like to contribute, please check our contributing guidelines and help make LangFlow more accessible.",
|
|
||||||
"source": "@site/docs/contributing/how-contribute.md",
|
|
||||||
"sourceDirName": "contributing",
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Deploy on Jina AI Cloud",
|
|
||||||
"permalink": "/deployment/jina-deployment"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "GitHub Issues",
|
|
||||||
"permalink": "/contributing/github-issues"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "conversation-chain",
|
|
||||||
"id": "conversation-chain",
|
|
||||||
"title": "Conversation Chain",
|
|
||||||
"description": "This example shows how to instantiate a simple ConversationChain component using a Language Model (LLM). Once the Node Status turns green 🟢, the chat will be ready to take in user messages. Here, we used ChatOpenAI to act as the required LLM input, but you can use any LLM for this purpose.",
|
|
||||||
"source": "@site/docs/conversation-chain.mdx",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/conversation-chain",
|
|
||||||
"permalink": "/conversation-chain",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Collection",
|
|
||||||
"permalink": "/collection"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Buffer Memory",
|
|
||||||
"permalink": "/buffer-memory"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "creating-flows",
|
|
||||||
"id": "creating-flows",
|
|
||||||
"title": "🎨 Creating Flows",
|
|
||||||
"description": "Compose",
|
|
||||||
"source": "@site/docs/creating-flows.mdx",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/creating-flows",
|
|
||||||
"permalink": "/creating-flows",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "🤗 HuggingFace Spaces",
|
|
||||||
"permalink": "/hugging-face-spaces"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Component",
|
|
||||||
"permalink": "/components"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "csv-loader",
|
|
||||||
"id": "csv-loader",
|
|
||||||
"title": "CSV Loader",
|
|
||||||
"description": "The VectoStoreAgent component retrieves information from one or more vector stores. This example shows a VectoStoreAgent connected to a CSV file through the Chroma vector store. Process description:",
|
|
||||||
"source": "@site/docs/csv-loader.mdx",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/csv-loader",
|
|
||||||
"permalink": "/csv-loader",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "MidJourney Prompt Chain",
|
|
||||||
"permalink": "/midjourney-prompt-chain"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Serp API Tool",
|
|
||||||
"permalink": "/serp-api-tool"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "deployment/gcp-deployment",
|
|
||||||
"id": "deployment/gcp-deployment",
|
|
||||||
"title": "Deploy on Google Cloud Platform",
|
|
||||||
"description": "Run LangFlow from a New Google Cloud Project",
|
|
||||||
"source": "@site/docs/deployment/gcp-deployment.md",
|
|
||||||
"sourceDirName": "deployment",
|
|
||||||
"slug": "/deployment/gcp-deployment",
|
|
||||||
"permalink": "/deployment/gcp-deployment",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "📚 How to Upload Examples?",
|
|
||||||
"permalink": "/examples/how-upload-examples"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Deploy on Jina AI Cloud",
|
|
||||||
"permalink": "/deployment/jina-deployment"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "deployment/jina-deployment",
|
|
||||||
"id": "deployment/jina-deployment",
|
|
||||||
"title": "Deploy on Jina AI Cloud",
|
|
||||||
"description": "LangFlow integrates with langchain-serve to provide a one-command deployment to Jina AI Cloud.",
|
|
||||||
"source": "@site/docs/deployment/jina-deployment.md",
|
|
||||||
"sourceDirName": "deployment",
|
|
||||||
"slug": "/deployment/jina-deployment",
|
|
||||||
"permalink": "/deployment/jina-deployment",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Deploy on Google Cloud Platform",
|
|
||||||
"permalink": "/deployment/gcp-deployment"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "How to contribute?",
|
|
||||||
"permalink": "/contributing/how-contribute"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "examples/buffer-memory",
|
|
||||||
"id": "examples/buffer-memory",
|
|
||||||
"title": "Buffer Memory",
|
|
||||||
"description": "For certain applications, retaining past interactions is crucial. For that, chains and agents may accept a memory component as one of their input parameters. The ConversationBufferMemory component is one of them. It stores messages and extracts them into variables.",
|
|
||||||
"source": "@site/docs/examples/buffer-memory.mdx",
|
|
||||||
"sourceDirName": "examples",
|
|
||||||
"slug": "/examples/buffer-memory",
|
|
||||||
"permalink": "/examples/buffer-memory",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Conversation Chain",
|
|
||||||
"permalink": "/examples/conversation-chain"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "MidJourney Prompt Chain",
|
|
||||||
"permalink": "/examples/midjourney-prompt-chain"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "examples/conversation-chain",
|
|
||||||
"id": "examples/conversation-chain",
|
|
||||||
"title": "Conversation Chain",
|
|
||||||
"description": "This example shows how to instantiate a simple ConversationChain component using a Language Model (LLM). Once the Node Status turns green 🟢, the chat will be ready to take in user messages. Here, we used ChatOpenAI to act as the required LLM input, but you can use any LLM for this purpose.",
|
|
||||||
"source": "@site/docs/examples/conversation-chain.mdx",
|
|
||||||
"sourceDirName": "examples",
|
|
||||||
"slug": "/examples/conversation-chain",
|
|
||||||
"permalink": "/examples/conversation-chain",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Wrappers",
|
|
||||||
"permalink": "/components/wrappers"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Buffer Memory",
|
|
||||||
"permalink": "/examples/buffer-memory"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "examples/csv-loader",
|
|
||||||
"id": "examples/csv-loader",
|
|
||||||
"title": "CSV Loader",
|
|
||||||
"description": "The VectoStoreAgent component retrieves information from one or more vector stores. This example shows a VectoStoreAgent connected to a CSV file through the Chroma vector store. Process description:",
|
|
||||||
"source": "@site/docs/examples/csv-loader.mdx",
|
|
||||||
"sourceDirName": "examples",
|
|
||||||
"slug": "/examples/csv-loader",
|
|
||||||
"permalink": "/examples/csv-loader",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "MidJourney Prompt Chain",
|
|
||||||
"permalink": "/examples/midjourney-prompt-chain"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Serp API Tool",
|
|
||||||
"permalink": "/examples/serp-api-tool"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "examples/how-upload-examples",
|
|
||||||
"id": "examples/how-upload-examples",
|
|
||||||
"title": "📚 How to Upload Examples?",
|
|
||||||
"description": "We welcome all examples that can help our community learn and explore LangFlow's capabilities.",
|
|
||||||
"source": "@site/docs/examples/how-upload-examples.mdx",
|
|
||||||
"sourceDirName": "examples",
|
|
||||||
"slug": "/examples/how-upload-examples",
|
|
||||||
"permalink": "/examples/how-upload-examples",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Python Function",
|
|
||||||
"permalink": "/examples/python-function"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Deploy on Google Cloud Platform",
|
|
||||||
"permalink": "/deployment/gcp-deployment"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "examples/midjourney-prompt-chain",
|
|
||||||
"id": "examples/midjourney-prompt-chain",
|
|
||||||
"title": "MidJourney Prompt Chain",
|
|
||||||
"description": "The MidJourneyPromptChain can be used to generate imaginative and detailed MidJourney prompts.",
|
|
||||||
"source": "@site/docs/examples/midjourney-prompt-chain.mdx",
|
|
||||||
"sourceDirName": "examples",
|
|
||||||
"slug": "/examples/midjourney-prompt-chain",
|
|
||||||
"permalink": "/examples/midjourney-prompt-chain",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Buffer Memory",
|
|
||||||
"permalink": "/examples/buffer-memory"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "CSV Loader",
|
|
||||||
"permalink": "/examples/csv-loader"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "examples/multiple-vectorstores",
|
|
||||||
"id": "examples/multiple-vectorstores",
|
|
||||||
"title": "Multiple Vector Stores",
|
|
||||||
"description": "The example below shows an agent operating with two vector stores built upon different data sources.",
|
|
||||||
"source": "@site/docs/examples/multiple-vectorstores.mdx",
|
|
||||||
"sourceDirName": "examples",
|
|
||||||
"slug": "/examples/multiple-vectorstores",
|
|
||||||
"permalink": "/examples/multiple-vectorstores",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Serp API Tool",
|
|
||||||
"permalink": "/examples/serp-api-tool"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Python Function",
|
|
||||||
"permalink": "/examples/python-function"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "examples/python-function",
|
|
||||||
"id": "examples/python-function",
|
|
||||||
"title": "Python Function",
|
|
||||||
"description": "LangFlow allows you to create a customized tool using the PythonFunction connected to a Tool component. In this example, Regex is used in Python to validate a pattern.",
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Multiple Vector Stores",
|
|
||||||
"permalink": "/examples/multiple-vectorstores"
|
|
||||||
},
|
|
||||||
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|
|
||||||
"title": "📚 How to Upload Examples?",
|
|
||||||
"permalink": "/examples/how-upload-examples"
|
|
||||||
}
|
|
||||||
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|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "examples/serp-api-tool",
|
|
||||||
"id": "examples/serp-api-tool",
|
|
||||||
"title": "Serp API Tool",
|
|
||||||
"description": "The Serp API (Search Engine Results Page) allows developers to scrape results from search engines such as Google, Bing and Yahoo, and can be used as in LangFlow through the Search component.",
|
|
||||||
"source": "@site/docs/examples/serp-api-tool.mdx",
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "CSV Loader",
|
|
||||||
"permalink": "/examples/csv-loader"
|
|
||||||
},
|
|
||||||
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|
|
||||||
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|
|
||||||
"permalink": "/examples/multiple-vectorstores"
|
|
||||||
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|
|
||||||
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|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "features",
|
|
||||||
"id": "features",
|
|
||||||
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|
|
||||||
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|
|
||||||
"source": "@site/docs/features.mdx",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/features",
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Component",
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "gcp-deployment",
|
|
||||||
"id": "gcp-deployment",
|
|
||||||
"title": "Deploy on Google Cloud Platform",
|
|
||||||
"description": "Run LangFlow from a New Google Cloud Project",
|
|
||||||
"source": "@site/docs/gcp-deployment.md",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/gcp-deployment",
|
|
||||||
"permalink": "/gcp-deployment",
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "📚 How to Upload Examples?",
|
|
||||||
"permalink": "/how-upload-examples"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Deploy on Jina AI Cloud",
|
|
||||||
"permalink": "/jina-deployment"
|
|
||||||
}
|
|
||||||
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|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "getting-started/creating-flows",
|
|
||||||
"id": "getting-started/creating-flows",
|
|
||||||
"title": "🎨 Creating Flows",
|
|
||||||
"description": "Compose",
|
|
||||||
"source": "@site/docs/getting-started/creating-flows.mdx",
|
|
||||||
"sourceDirName": "getting-started",
|
|
||||||
"slug": "/getting-started/creating-flows",
|
|
||||||
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|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "🤗 HuggingFace Spaces",
|
|
||||||
"permalink": "/getting-started/hugging-face-spaces"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Component",
|
|
||||||
"permalink": "/guidelines/components"
|
|
||||||
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|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
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|
|
||||||
"id": "getting-started/hugging-face-spaces",
|
|
||||||
"title": "🤗 HuggingFace Spaces",
|
|
||||||
"description": "A fully featured version of LangFlow can be accessed via HuggingFace spaces with no installation required.",
|
|
||||||
"source": "@site/docs/getting-started/hugging-face-spaces.mdx",
|
|
||||||
"sourceDirName": "getting-started",
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
"title": "📦 How to install?",
|
|
||||||
"permalink": "/getting-started/installation"
|
|
||||||
},
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "getting-started/installation",
|
|
||||||
"id": "getting-started/installation",
|
|
||||||
"title": "📦 How to install?",
|
|
||||||
"description": "Installation",
|
|
||||||
"source": "@site/docs/getting-started/installation.md",
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "👋 Welcome to LangFlow",
|
|
||||||
"permalink": "/"
|
|
||||||
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|
|
||||||
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|
|
||||||
"title": "🤗 HuggingFace Spaces",
|
|
||||||
"permalink": "/getting-started/hugging-face-spaces"
|
|
||||||
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|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "github-issues",
|
|
||||||
"id": "github-issues",
|
|
||||||
"title": "GitHub Issues",
|
|
||||||
"description": "Our issues page is kept up to date",
|
|
||||||
"source": "@site/docs/github-issues.md",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/github-issues",
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "How to contribute?",
|
|
||||||
"permalink": "/how-contribute"
|
|
||||||
},
|
|
||||||
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|
|
||||||
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|
|
||||||
"permalink": "/community"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "guidelines/collection",
|
|
||||||
"id": "guidelines/collection",
|
|
||||||
"title": "Collection",
|
|
||||||
"description": "A collection is a snapshot of the flows available in the database. You can download your entire collection for local storage and upload it anytime for future use.",
|
|
||||||
"source": "@site/docs/guidelines/collection.mdx",
|
|
||||||
"sourceDirName": "guidelines",
|
|
||||||
"slug": "/guidelines/collection",
|
|
||||||
"permalink": "/guidelines/collection",
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Features",
|
|
||||||
"permalink": "/guidelines/features"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Agents",
|
|
||||||
"permalink": "/components/agents"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "guidelines/components",
|
|
||||||
"id": "guidelines/components",
|
|
||||||
"title": "Component",
|
|
||||||
"description": "Components are the building blocks of the flows. They are made of inputs, outputs, and parameters that define their functionality, providing a convenient and straightforward way to compose LLM-based applications. Learn more about components and how they work in the LangChain documentation section.",
|
|
||||||
"source": "@site/docs/guidelines/components.mdx",
|
|
||||||
"sourceDirName": "guidelines",
|
|
||||||
"slug": "/guidelines/components",
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
"previous": {
|
|
||||||
"title": "🎨 Creating Flows",
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
"title": "Features",
|
|
||||||
"permalink": "/guidelines/features"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "guidelines/features",
|
|
||||||
"id": "guidelines/features",
|
|
||||||
"title": "Features",
|
|
||||||
"description": "When you click for New Project, you will see on the top left corner of the screen, some options such as Import, Export, Code and Save, as displayed in the image below:",
|
|
||||||
"source": "@site/docs/guidelines/features.mdx",
|
|
||||||
"sourceDirName": "guidelines",
|
|
||||||
"slug": "/guidelines/features",
|
|
||||||
"permalink": "/guidelines/features",
|
|
||||||
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|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Component",
|
|
||||||
"permalink": "/guidelines/components"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Collection",
|
|
||||||
"permalink": "/guidelines/collection"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "how-contribute",
|
|
||||||
"id": "how-contribute",
|
|
||||||
"title": "How to contribute?",
|
|
||||||
"description": "👋 Hello there! We welcome contributions from developers of all levels to our open-source project on GitHub. If you'd like to contribute, please check our contributing guidelines and help make LangFlow more accessible.",
|
|
||||||
"source": "@site/docs/how-contribute.md",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/how-contribute",
|
|
||||||
"permalink": "/how-contribute",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Deploy on Jina AI Cloud",
|
|
||||||
"permalink": "/jina-deployment"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "GitHub Issues",
|
|
||||||
"permalink": "/github-issues"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "how-upload-examples",
|
|
||||||
"id": "how-upload-examples",
|
|
||||||
"title": "📚 How to Upload Examples?",
|
|
||||||
"description": "We welcome all examples that can help our community learn and explore LangFlow's capabilities.",
|
|
||||||
"source": "@site/docs/how-upload-examples.mdx",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/how-upload-examples",
|
|
||||||
"permalink": "/how-upload-examples",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Python Function",
|
|
||||||
"permalink": "/python-function"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Deploy on Google Cloud Platform",
|
|
||||||
"permalink": "/gcp-deployment"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "hugging-face-spaces",
|
|
||||||
"id": "hugging-face-spaces",
|
|
||||||
"title": "🤗 HuggingFace Spaces",
|
|
||||||
"description": "A fully featured version of LangFlow can be accessed via HuggingFace spaces with no installation required.",
|
|
||||||
"source": "@site/docs/hugging-face-spaces.mdx",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/hugging-face-spaces",
|
|
||||||
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|
|
||||||
"draft": false,
|
|
||||||
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|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "📦 How to install?",
|
|
||||||
"permalink": "/installation"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "🎨 Creating Flows",
|
|
||||||
"permalink": "/creating-flows"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,19 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "index",
|
|
||||||
"id": "index",
|
|
||||||
"title": "👋 Welcome to LangFlow",
|
|
||||||
"description": "LangFlow is an easy way to prototype LangChain flows. The drag-and-drop feature allows quick and effortless experimentation, while the built-in chat interface facilitates real-time interaction. It provides options to edit prompt parameters, create chains and agents, track thought processes, and export flows.",
|
|
||||||
"source": "@site/docs/index.mdx",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/",
|
|
||||||
"permalink": "/",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"next": {
|
|
||||||
"title": "📦 How to install?",
|
|
||||||
"permalink": "/getting-started/installation"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "installation",
|
|
||||||
"id": "installation",
|
|
||||||
"title": "📦 How to install?",
|
|
||||||
"description": "Installation",
|
|
||||||
"source": "@site/docs/installation.md",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/installation",
|
|
||||||
"permalink": "/installation",
|
|
||||||
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|
|
||||||
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|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "👋 Welcome to LangFlow",
|
|
||||||
"permalink": "/"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "🤗 HuggingFace Spaces",
|
|
||||||
"permalink": "/hugging-face-spaces"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "jina-deployment",
|
|
||||||
"id": "jina-deployment",
|
|
||||||
"title": "Deploy on Jina AI Cloud",
|
|
||||||
"description": "LangFlow integrates with langchain-serve to provide a one-command deployment to Jina AI Cloud.",
|
|
||||||
"source": "@site/docs/jina-deployment.md",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/jina-deployment",
|
|
||||||
"permalink": "/jina-deployment",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Deploy on Google Cloud Platform",
|
|
||||||
"permalink": "/gcp-deployment"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "How to contribute?",
|
|
||||||
"permalink": "/how-contribute"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "midjourney-prompt-chain",
|
|
||||||
"id": "midjourney-prompt-chain",
|
|
||||||
"title": "MidJourney Prompt Chain",
|
|
||||||
"description": "The MidJourneyPromptChain can be used to generate imaginative and detailed MidJourney prompts.",
|
|
||||||
"source": "@site/docs/midjourney-prompt-chain.mdx",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/midjourney-prompt-chain",
|
|
||||||
"permalink": "/midjourney-prompt-chain",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Buffer Memory",
|
|
||||||
"permalink": "/buffer-memory"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "CSV Loader",
|
|
||||||
"permalink": "/csv-loader"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "multiple-vectorstores",
|
|
||||||
"id": "multiple-vectorstores",
|
|
||||||
"title": "Multiple Vector Stores",
|
|
||||||
"description": "The example below shows an agent operating with two vector stores built upon different data sources.",
|
|
||||||
"source": "@site/docs/multiple-vectorstores.mdx",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/multiple-vectorstores",
|
|
||||||
"permalink": "/multiple-vectorstores",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Serp API Tool",
|
|
||||||
"permalink": "/serp-api-tool"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Python Function",
|
|
||||||
"permalink": "/python-function"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "python-function",
|
|
||||||
"id": "python-function",
|
|
||||||
"title": "Python Function",
|
|
||||||
"description": "LangFlow allows you to create a customized tool using the PythonFunction connected to a Tool component. In this example, Regex is used in Python to validate a pattern.",
|
|
||||||
"source": "@site/docs/python-function.mdx",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/python-function",
|
|
||||||
"permalink": "/python-function",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Multiple Vector Stores",
|
|
||||||
"permalink": "/multiple-vectorstores"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "📚 How to Upload Examples?",
|
|
||||||
"permalink": "/how-upload-examples"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,23 +0,0 @@
|
||||||
{
|
|
||||||
"unversionedId": "serp-api-tool",
|
|
||||||
"id": "serp-api-tool",
|
|
||||||
"title": "Serp API Tool",
|
|
||||||
"description": "The Serp API (Search Engine Results Page) allows developers to scrape results from search engines such as Google, Bing and Yahoo, and can be used as in LangFlow through the Search component.",
|
|
||||||
"source": "@site/docs/serp-api-tool.mdx",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/serp-api-tool",
|
|
||||||
"permalink": "/serp-api-tool",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "CSV Loader",
|
|
||||||
"permalink": "/csv-loader"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Multiple Vector Stores",
|
|
||||||
"permalink": "/multiple-vectorstores"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,460 +0,0 @@
|
||||||
{
|
|
||||||
"pluginId": "default",
|
|
||||||
"version": "current",
|
|
||||||
"label": "Next",
|
|
||||||
"banner": null,
|
|
||||||
"badge": false,
|
|
||||||
"noIndex": false,
|
|
||||||
"className": "docs-version-current",
|
|
||||||
"isLast": true,
|
|
||||||
"docsSidebars": {
|
|
||||||
"docs": [
|
|
||||||
{
|
|
||||||
"type": "category",
|
|
||||||
"label": "Getting Started",
|
|
||||||
"collapsed": false,
|
|
||||||
"items": [
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "👋 Welcome to LangFlow",
|
|
||||||
"href": "/",
|
|
||||||
"docId": "index"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "📦 How to install?",
|
|
||||||
"href": "/getting-started/installation",
|
|
||||||
"docId": "getting-started/installation"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "🤗 HuggingFace Spaces",
|
|
||||||
"href": "/getting-started/hugging-face-spaces",
|
|
||||||
"docId": "getting-started/hugging-face-spaces"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "🎨 Creating Flows",
|
|
||||||
"href": "/getting-started/creating-flows",
|
|
||||||
"docId": "getting-started/creating-flows"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"collapsible": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "category",
|
|
||||||
"label": "Guidelines",
|
|
||||||
"collapsed": false,
|
|
||||||
"items": [
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Component",
|
|
||||||
"href": "/guidelines/components",
|
|
||||||
"docId": "guidelines/components"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Features",
|
|
||||||
"href": "/guidelines/features",
|
|
||||||
"docId": "guidelines/features"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Collection",
|
|
||||||
"href": "/guidelines/collection",
|
|
||||||
"docId": "guidelines/collection"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"collapsible": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "category",
|
|
||||||
"label": "Components",
|
|
||||||
"collapsed": false,
|
|
||||||
"items": [
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Agents",
|
|
||||||
"href": "/components/agents",
|
|
||||||
"docId": "components/agents"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Chains",
|
|
||||||
"href": "/components/chains",
|
|
||||||
"docId": "components/chains"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Loaders",
|
|
||||||
"href": "/components/loaders",
|
|
||||||
"docId": "components/loaders"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Embeddings",
|
|
||||||
"href": "/components/embeddings",
|
|
||||||
"docId": "components/embeddings"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "LLMs",
|
|
||||||
"href": "/components/llms",
|
|
||||||
"docId": "components/llms"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Memories",
|
|
||||||
"href": "/components/memories",
|
|
||||||
"docId": "components/memories"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Prompts",
|
|
||||||
"href": "/components/prompts",
|
|
||||||
"docId": "components/prompts"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Text Splitters",
|
|
||||||
"href": "/components/text-splitters",
|
|
||||||
"docId": "components/text-splitters"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Toolkits",
|
|
||||||
"href": "/components/toolkits",
|
|
||||||
"docId": "components/toolkits"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Tools",
|
|
||||||
"href": "/components/tools",
|
|
||||||
"docId": "components/tools"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Utilities",
|
|
||||||
"href": "/components/utilities",
|
|
||||||
"docId": "components/utilities"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Vector Stores",
|
|
||||||
"href": "/components/vector-stores",
|
|
||||||
"docId": "components/vector-stores"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Wrappers",
|
|
||||||
"href": "/components/wrappers",
|
|
||||||
"docId": "components/wrappers"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"collapsible": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "category",
|
|
||||||
"label": "Examples",
|
|
||||||
"collapsed": false,
|
|
||||||
"items": [
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Conversation Chain",
|
|
||||||
"href": "/examples/conversation-chain",
|
|
||||||
"docId": "examples/conversation-chain"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Buffer Memory",
|
|
||||||
"href": "/examples/buffer-memory",
|
|
||||||
"docId": "examples/buffer-memory"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "MidJourney Prompt Chain",
|
|
||||||
"href": "/examples/midjourney-prompt-chain",
|
|
||||||
"docId": "examples/midjourney-prompt-chain"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "CSV Loader",
|
|
||||||
"href": "/examples/csv-loader",
|
|
||||||
"docId": "examples/csv-loader"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Serp API Tool",
|
|
||||||
"href": "/examples/serp-api-tool",
|
|
||||||
"docId": "examples/serp-api-tool"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Multiple Vector Stores",
|
|
||||||
"href": "/examples/multiple-vectorstores",
|
|
||||||
"docId": "examples/multiple-vectorstores"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Python Function",
|
|
||||||
"href": "/examples/python-function",
|
|
||||||
"docId": "examples/python-function"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "📚 How to Upload Examples?",
|
|
||||||
"href": "/examples/how-upload-examples",
|
|
||||||
"docId": "examples/how-upload-examples"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"collapsible": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "category",
|
|
||||||
"label": "Deployment",
|
|
||||||
"collapsed": false,
|
|
||||||
"items": [
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Deploy on Google Cloud Platform",
|
|
||||||
"href": "/deployment/gcp-deployment",
|
|
||||||
"docId": "deployment/gcp-deployment"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Deploy on Jina AI Cloud",
|
|
||||||
"href": "/deployment/jina-deployment",
|
|
||||||
"docId": "deployment/jina-deployment"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"collapsible": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "category",
|
|
||||||
"label": "Contributing",
|
|
||||||
"collapsed": false,
|
|
||||||
"items": [
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "How to contribute?",
|
|
||||||
"href": "/contributing/how-contribute",
|
|
||||||
"docId": "contributing/how-contribute"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "GitHub Issues",
|
|
||||||
"href": "/contributing/github-issues",
|
|
||||||
"docId": "contributing/github-issues"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "link",
|
|
||||||
"label": "Community",
|
|
||||||
"href": "/contributing/community",
|
|
||||||
"docId": "contributing/community"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"collapsible": true
|
|
||||||
}
|
|
||||||
]
|
|
||||||
},
|
|
||||||
"docs": {
|
|
||||||
"components/agents": {
|
|
||||||
"id": "components/agents",
|
|
||||||
"title": "Agents",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"components/chains": {
|
|
||||||
"id": "components/chains",
|
|
||||||
"title": "Chains",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"components/embeddings": {
|
|
||||||
"id": "components/embeddings",
|
|
||||||
"title": "Embeddings",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"components/llms": {
|
|
||||||
"id": "components/llms",
|
|
||||||
"title": "LLMs",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"components/loaders": {
|
|
||||||
"id": "components/loaders",
|
|
||||||
"title": "Loaders",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"components/memories": {
|
|
||||||
"id": "components/memories",
|
|
||||||
"title": "Memories",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"components/prompts": {
|
|
||||||
"id": "components/prompts",
|
|
||||||
"title": "Prompts",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"components/text-splitters": {
|
|
||||||
"id": "components/text-splitters",
|
|
||||||
"title": "Text Splitters",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"components/toolkits": {
|
|
||||||
"id": "components/toolkits",
|
|
||||||
"title": "Toolkits",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"components/tools": {
|
|
||||||
"id": "components/tools",
|
|
||||||
"title": "Tools",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"components/utilities": {
|
|
||||||
"id": "components/utilities",
|
|
||||||
"title": "Utilities",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"components/vector-stores": {
|
|
||||||
"id": "components/vector-stores",
|
|
||||||
"title": "Vector Stores",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"components/wrappers": {
|
|
||||||
"id": "components/wrappers",
|
|
||||||
"title": "Wrappers",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"contributing/community": {
|
|
||||||
"id": "contributing/community",
|
|
||||||
"title": "Community",
|
|
||||||
"description": "🤖 Join LangFlow Discord server",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"contributing/github-issues": {
|
|
||||||
"id": "contributing/github-issues",
|
|
||||||
"title": "GitHub Issues",
|
|
||||||
"description": "Our issues page is kept up to date",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"contributing/how-contribute": {
|
|
||||||
"id": "contributing/how-contribute",
|
|
||||||
"title": "How to contribute?",
|
|
||||||
"description": "👋 Hello there! We welcome contributions from developers of all levels to our open-source project on GitHub. If you'd like to contribute, please check our contributing guidelines and help make LangFlow more accessible.",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"deployment/gcp-deployment": {
|
|
||||||
"id": "deployment/gcp-deployment",
|
|
||||||
"title": "Deploy on Google Cloud Platform",
|
|
||||||
"description": "Run LangFlow from a New Google Cloud Project",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"deployment/jina-deployment": {
|
|
||||||
"id": "deployment/jina-deployment",
|
|
||||||
"title": "Deploy on Jina AI Cloud",
|
|
||||||
"description": "LangFlow integrates with langchain-serve to provide a one-command deployment to Jina AI Cloud.",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"examples/buffer-memory": {
|
|
||||||
"id": "examples/buffer-memory",
|
|
||||||
"title": "Buffer Memory",
|
|
||||||
"description": "For certain applications, retaining past interactions is crucial. For that, chains and agents may accept a memory component as one of their input parameters. The ConversationBufferMemory component is one of them. It stores messages and extracts them into variables.",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"examples/conversation-chain": {
|
|
||||||
"id": "examples/conversation-chain",
|
|
||||||
"title": "Conversation Chain",
|
|
||||||
"description": "This example shows how to instantiate a simple ConversationChain component using a Language Model (LLM). Once the Node Status turns green 🟢, the chat will be ready to take in user messages. Here, we used ChatOpenAI to act as the required LLM input, but you can use any LLM for this purpose.",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"examples/csv-loader": {
|
|
||||||
"id": "examples/csv-loader",
|
|
||||||
"title": "CSV Loader",
|
|
||||||
"description": "The VectoStoreAgent component retrieves information from one or more vector stores. This example shows a VectoStoreAgent connected to a CSV file through the Chroma vector store. Process description:",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"examples/how-upload-examples": {
|
|
||||||
"id": "examples/how-upload-examples",
|
|
||||||
"title": "📚 How to Upload Examples?",
|
|
||||||
"description": "We welcome all examples that can help our community learn and explore LangFlow's capabilities.",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"examples/midjourney-prompt-chain": {
|
|
||||||
"id": "examples/midjourney-prompt-chain",
|
|
||||||
"title": "MidJourney Prompt Chain",
|
|
||||||
"description": "The MidJourneyPromptChain can be used to generate imaginative and detailed MidJourney prompts.",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"examples/multiple-vectorstores": {
|
|
||||||
"id": "examples/multiple-vectorstores",
|
|
||||||
"title": "Multiple Vector Stores",
|
|
||||||
"description": "The example below shows an agent operating with two vector stores built upon different data sources.",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"examples/python-function": {
|
|
||||||
"id": "examples/python-function",
|
|
||||||
"title": "Python Function",
|
|
||||||
"description": "LangFlow allows you to create a customized tool using the PythonFunction connected to a Tool component. In this example, Regex is used in Python to validate a pattern.",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"examples/serp-api-tool": {
|
|
||||||
"id": "examples/serp-api-tool",
|
|
||||||
"title": "Serp API Tool",
|
|
||||||
"description": "The Serp API (Search Engine Results Page) allows developers to scrape results from search engines such as Google, Bing and Yahoo, and can be used as in LangFlow through the Search component.",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"getting-started/creating-flows": {
|
|
||||||
"id": "getting-started/creating-flows",
|
|
||||||
"title": "🎨 Creating Flows",
|
|
||||||
"description": "Compose",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"getting-started/hugging-face-spaces": {
|
|
||||||
"id": "getting-started/hugging-face-spaces",
|
|
||||||
"title": "🤗 HuggingFace Spaces",
|
|
||||||
"description": "A fully featured version of LangFlow can be accessed via HuggingFace spaces with no installation required.",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"getting-started/installation": {
|
|
||||||
"id": "getting-started/installation",
|
|
||||||
"title": "📦 How to install?",
|
|
||||||
"description": "Installation",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"guidelines/collection": {
|
|
||||||
"id": "guidelines/collection",
|
|
||||||
"title": "Collection",
|
|
||||||
"description": "A collection is a snapshot of the flows available in the database. You can download your entire collection for local storage and upload it anytime for future use.",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"guidelines/components": {
|
|
||||||
"id": "guidelines/components",
|
|
||||||
"title": "Component",
|
|
||||||
"description": "Components are the building blocks of the flows. They are made of inputs, outputs, and parameters that define their functionality, providing a convenient and straightforward way to compose LLM-based applications. Learn more about components and how they work in the LangChain documentation section.",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"guidelines/features": {
|
|
||||||
"id": "guidelines/features",
|
|
||||||
"title": "Features",
|
|
||||||
"description": "When you click for New Project, you will see on the top left corner of the screen, some options such as Import, Export, Code and Save, as displayed in the image below:",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
"index": {
|
|
||||||
"id": "index",
|
|
||||||
"title": "👋 Welcome to LangFlow",
|
|
||||||
"description": "LangFlow is an easy way to prototype LangChain flows. The drag-and-drop feature allows quick and effortless experimentation, while the built-in chat interface facilitates real-time interaction. It provides options to edit prompt parameters, create chains and agents, track thought processes, and export flows.",
|
|
||||||
"sidebar": "docs"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,4 +0,0 @@
|
||||||
{
|
|
||||||
"name": "docusaurus-plugin-content-pages",
|
|
||||||
"id": "default"
|
|
||||||
}
|
|
||||||
|
|
@ -1,10 +0,0 @@
|
||||||
{
|
|
||||||
"type": "mdx",
|
|
||||||
"permalink": "/markdown-page",
|
|
||||||
"source": "@site/src/pages/markdown-page.md",
|
|
||||||
"title": "Markdown page example",
|
|
||||||
"description": "You don't need React to write simple standalone pages.",
|
|
||||||
"frontMatter": {
|
|
||||||
"title": "Markdown page example"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,992 +0,0 @@
|
||||||
{
|
|
||||||
"docusaurus-plugin-content-docs": {
|
|
||||||
"default": {
|
|
||||||
"loadedVersions": [
|
|
||||||
{
|
|
||||||
"versionName": "current",
|
|
||||||
"label": "Next",
|
|
||||||
"banner": null,
|
|
||||||
"badge": false,
|
|
||||||
"noIndex": false,
|
|
||||||
"className": "docs-version-current",
|
|
||||||
"path": "/",
|
|
||||||
"tagsPath": "/tags",
|
|
||||||
"isLast": true,
|
|
||||||
"routePriority": -1,
|
|
||||||
"sidebarFilePath": "/home/carlos/repo/logspace/langflow/docs/sidebars.js",
|
|
||||||
"contentPath": "/home/carlos/repo/logspace/langflow/docs/docs",
|
|
||||||
"contentPathLocalized": "/home/carlos/repo/logspace/langflow/docs/i18n/en/docusaurus-plugin-content-docs/current",
|
|
||||||
"docs": [
|
|
||||||
{
|
|
||||||
"unversionedId": "components/agents",
|
|
||||||
"id": "components/agents",
|
|
||||||
"title": "Agents",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/agents.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/agents",
|
|
||||||
"permalink": "/components/agents",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Collection",
|
|
||||||
"permalink": "/guidelines/collection"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Chains",
|
|
||||||
"permalink": "/components/chains"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "components/chains",
|
|
||||||
"id": "components/chains",
|
|
||||||
"title": "Chains",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/chains.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/chains",
|
|
||||||
"permalink": "/components/chains",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Agents",
|
|
||||||
"permalink": "/components/agents"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Loaders",
|
|
||||||
"permalink": "/components/loaders"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "components/embeddings",
|
|
||||||
"id": "components/embeddings",
|
|
||||||
"title": "Embeddings",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/embeddings.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/embeddings",
|
|
||||||
"permalink": "/components/embeddings",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Loaders",
|
|
||||||
"permalink": "/components/loaders"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "LLMs",
|
|
||||||
"permalink": "/components/llms"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "components/llms",
|
|
||||||
"id": "components/llms",
|
|
||||||
"title": "LLMs",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/llms.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/llms",
|
|
||||||
"permalink": "/components/llms",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Embeddings",
|
|
||||||
"permalink": "/components/embeddings"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Memories",
|
|
||||||
"permalink": "/components/memories"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "components/loaders",
|
|
||||||
"id": "components/loaders",
|
|
||||||
"title": "Loaders",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/loaders.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/loaders",
|
|
||||||
"permalink": "/components/loaders",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Chains",
|
|
||||||
"permalink": "/components/chains"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Embeddings",
|
|
||||||
"permalink": "/components/embeddings"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "components/memories",
|
|
||||||
"id": "components/memories",
|
|
||||||
"title": "Memories",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/memories.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/memories",
|
|
||||||
"permalink": "/components/memories",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "LLMs",
|
|
||||||
"permalink": "/components/llms"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Prompts",
|
|
||||||
"permalink": "/components/prompts"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "components/prompts",
|
|
||||||
"id": "components/prompts",
|
|
||||||
"title": "Prompts",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/prompts.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/prompts",
|
|
||||||
"permalink": "/components/prompts",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Memories",
|
|
||||||
"permalink": "/components/memories"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Text Splitters",
|
|
||||||
"permalink": "/components/text-splitters"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "components/text-splitters",
|
|
||||||
"id": "components/text-splitters",
|
|
||||||
"title": "Text Splitters",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/text-splitters.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/text-splitters",
|
|
||||||
"permalink": "/components/text-splitters",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
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||||||
"title": "Prompts",
|
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||||||
"permalink": "/components/prompts"
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
{
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|
||||||
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|
||||||
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||||||
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|
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||||||
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|
|
||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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|
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||||||
"sidebar": "docs",
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||||||
"previous": {
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||||||
"title": "Text Splitters",
|
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||||||
"permalink": "/components/text-splitters"
|
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||||||
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|
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||||||
"next": {
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||||||
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||||||
"permalink": "/components/tools"
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||||||
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||||||
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||||||
{
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||||||
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||||||
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||||||
"title": "Tools",
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||||||
"description": "(coming soon)",
|
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||||||
"source": "@site/docs/components/tools.mdx",
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||||||
"sourceDirName": "components",
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|
||||||
"slug": "/components/tools",
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||||||
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||||||
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||||||
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||||||
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||||||
"frontMatter": {},
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||||||
"sidebar": "docs",
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||||||
"previous": {
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||||||
"title": "Toolkits",
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||||||
"permalink": "/components/toolkits"
|
|
||||||
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||||||
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||||||
"title": "Utilities",
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||||||
"permalink": "/components/utilities"
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|
||||||
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|
|
||||||
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|
|
||||||
{
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|
||||||
"unversionedId": "components/utilities",
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||||||
"id": "components/utilities",
|
|
||||||
"title": "Utilities",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/utilities.mdx",
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|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/utilities",
|
|
||||||
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|
||||||
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|
||||||
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||||||
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|
|
||||||
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|
|
||||||
"sidebar": "docs",
|
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||||||
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|
||||||
"title": "Tools",
|
|
||||||
"permalink": "/components/tools"
|
|
||||||
},
|
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||||||
"next": {
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|
||||||
"title": "Vector Stores",
|
|
||||||
"permalink": "/components/vector-stores"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "components/vector-stores",
|
|
||||||
"id": "components/vector-stores",
|
|
||||||
"title": "Vector Stores",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/vector-stores.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
"sidebar": "docs",
|
|
||||||
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|
|
||||||
"title": "Utilities",
|
|
||||||
"permalink": "/components/utilities"
|
|
||||||
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|
|
||||||
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|
||||||
"title": "Wrappers",
|
|
||||||
"permalink": "/components/wrappers"
|
|
||||||
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|
|
||||||
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|
|
||||||
{
|
|
||||||
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|
|
||||||
"id": "components/wrappers",
|
|
||||||
"title": "Wrappers",
|
|
||||||
"description": "(coming soon)",
|
|
||||||
"source": "@site/docs/components/wrappers.mdx",
|
|
||||||
"sourceDirName": "components",
|
|
||||||
"slug": "/components/wrappers",
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Vector Stores",
|
|
||||||
"permalink": "/components/vector-stores"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Conversation Chain",
|
|
||||||
"permalink": "/examples/conversation-chain"
|
|
||||||
}
|
|
||||||
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|
|
||||||
{
|
|
||||||
"unversionedId": "contributing/community",
|
|
||||||
"id": "contributing/community",
|
|
||||||
"title": "Community",
|
|
||||||
"description": "🤖 Join LangFlow Discord server",
|
|
||||||
"source": "@site/docs/contributing/community.md",
|
|
||||||
"sourceDirName": "contributing",
|
|
||||||
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|
|
||||||
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|
||||||
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|
|
||||||
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|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "GitHub Issues",
|
|
||||||
"permalink": "/contributing/github-issues"
|
|
||||||
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|
|
||||||
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|
|
||||||
{
|
|
||||||
"unversionedId": "contributing/github-issues",
|
|
||||||
"id": "contributing/github-issues",
|
|
||||||
"title": "GitHub Issues",
|
|
||||||
"description": "Our issues page is kept up to date",
|
|
||||||
"source": "@site/docs/contributing/github-issues.md",
|
|
||||||
"sourceDirName": "contributing",
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "How to contribute?",
|
|
||||||
"permalink": "/contributing/how-contribute"
|
|
||||||
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|
|
||||||
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|
|
||||||
"title": "Community",
|
|
||||||
"permalink": "/contributing/community"
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
"unversionedId": "contributing/how-contribute",
|
|
||||||
"id": "contributing/how-contribute",
|
|
||||||
"title": "How to contribute?",
|
|
||||||
"description": "👋 Hello there! We welcome contributions from developers of all levels to our open-source project on GitHub. If you'd like to contribute, please check our contributing guidelines and help make LangFlow more accessible.",
|
|
||||||
"source": "@site/docs/contributing/how-contribute.md",
|
|
||||||
"sourceDirName": "contributing",
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Deploy on Jina AI Cloud",
|
|
||||||
"permalink": "/deployment/jina-deployment"
|
|
||||||
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|
|
||||||
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|
|
||||||
"title": "GitHub Issues",
|
|
||||||
"permalink": "/contributing/github-issues"
|
|
||||||
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|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "deployment/gcp-deployment",
|
|
||||||
"id": "deployment/gcp-deployment",
|
|
||||||
"title": "Deploy on Google Cloud Platform",
|
|
||||||
"description": "Run LangFlow from a New Google Cloud Project",
|
|
||||||
"source": "@site/docs/deployment/gcp-deployment.md",
|
|
||||||
"sourceDirName": "deployment",
|
|
||||||
"slug": "/deployment/gcp-deployment",
|
|
||||||
"permalink": "/deployment/gcp-deployment",
|
|
||||||
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|
|
||||||
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|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "📚 How to Upload Examples?",
|
|
||||||
"permalink": "/examples/how-upload-examples"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Deploy on Jina AI Cloud",
|
|
||||||
"permalink": "/deployment/jina-deployment"
|
|
||||||
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|
|
||||||
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|
|
||||||
{
|
|
||||||
"unversionedId": "deployment/jina-deployment",
|
|
||||||
"id": "deployment/jina-deployment",
|
|
||||||
"title": "Deploy on Jina AI Cloud",
|
|
||||||
"description": "LangFlow integrates with langchain-serve to provide a one-command deployment to Jina AI Cloud.",
|
|
||||||
"source": "@site/docs/deployment/jina-deployment.md",
|
|
||||||
"sourceDirName": "deployment",
|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
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|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Deploy on Google Cloud Platform",
|
|
||||||
"permalink": "/deployment/gcp-deployment"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "How to contribute?",
|
|
||||||
"permalink": "/contributing/how-contribute"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "examples/buffer-memory",
|
|
||||||
"id": "examples/buffer-memory",
|
|
||||||
"title": "Buffer Memory",
|
|
||||||
"description": "For certain applications, retaining past interactions is crucial. For that, chains and agents may accept a memory component as one of their input parameters. The ConversationBufferMemory component is one of them. It stores messages and extracts them into variables.",
|
|
||||||
"source": "@site/docs/examples/buffer-memory.mdx",
|
|
||||||
"sourceDirName": "examples",
|
|
||||||
"slug": "/examples/buffer-memory",
|
|
||||||
"permalink": "/examples/buffer-memory",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Conversation Chain",
|
|
||||||
"permalink": "/examples/conversation-chain"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "MidJourney Prompt Chain",
|
|
||||||
"permalink": "/examples/midjourney-prompt-chain"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "examples/conversation-chain",
|
|
||||||
"id": "examples/conversation-chain",
|
|
||||||
"title": "Conversation Chain",
|
|
||||||
"description": "This example shows how to instantiate a simple ConversationChain component using a Language Model (LLM). Once the Node Status turns green 🟢, the chat will be ready to take in user messages. Here, we used ChatOpenAI to act as the required LLM input, but you can use any LLM for this purpose.",
|
|
||||||
"source": "@site/docs/examples/conversation-chain.mdx",
|
|
||||||
"sourceDirName": "examples",
|
|
||||||
"slug": "/examples/conversation-chain",
|
|
||||||
"permalink": "/examples/conversation-chain",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Wrappers",
|
|
||||||
"permalink": "/components/wrappers"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Buffer Memory",
|
|
||||||
"permalink": "/examples/buffer-memory"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "examples/csv-loader",
|
|
||||||
"id": "examples/csv-loader",
|
|
||||||
"title": "CSV Loader",
|
|
||||||
"description": "The VectoStoreAgent component retrieves information from one or more vector stores. This example shows a VectoStoreAgent connected to a CSV file through the Chroma vector store. Process description:",
|
|
||||||
"source": "@site/docs/examples/csv-loader.mdx",
|
|
||||||
"sourceDirName": "examples",
|
|
||||||
"slug": "/examples/csv-loader",
|
|
||||||
"permalink": "/examples/csv-loader",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "MidJourney Prompt Chain",
|
|
||||||
"permalink": "/examples/midjourney-prompt-chain"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Serp API Tool",
|
|
||||||
"permalink": "/examples/serp-api-tool"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "examples/how-upload-examples",
|
|
||||||
"id": "examples/how-upload-examples",
|
|
||||||
"title": "📚 How to Upload Examples?",
|
|
||||||
"description": "We welcome all examples that can help our community learn and explore LangFlow's capabilities.",
|
|
||||||
"source": "@site/docs/examples/how-upload-examples.mdx",
|
|
||||||
"sourceDirName": "examples",
|
|
||||||
"slug": "/examples/how-upload-examples",
|
|
||||||
"permalink": "/examples/how-upload-examples",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Python Function",
|
|
||||||
"permalink": "/examples/python-function"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Deploy on Google Cloud Platform",
|
|
||||||
"permalink": "/deployment/gcp-deployment"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "examples/midjourney-prompt-chain",
|
|
||||||
"id": "examples/midjourney-prompt-chain",
|
|
||||||
"title": "MidJourney Prompt Chain",
|
|
||||||
"description": "The MidJourneyPromptChain can be used to generate imaginative and detailed MidJourney prompts.",
|
|
||||||
"source": "@site/docs/examples/midjourney-prompt-chain.mdx",
|
|
||||||
"sourceDirName": "examples",
|
|
||||||
"slug": "/examples/midjourney-prompt-chain",
|
|
||||||
"permalink": "/examples/midjourney-prompt-chain",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Buffer Memory",
|
|
||||||
"permalink": "/examples/buffer-memory"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "CSV Loader",
|
|
||||||
"permalink": "/examples/csv-loader"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "examples/multiple-vectorstores",
|
|
||||||
"id": "examples/multiple-vectorstores",
|
|
||||||
"title": "Multiple Vector Stores",
|
|
||||||
"description": "The example below shows an agent operating with two vector stores built upon different data sources.",
|
|
||||||
"source": "@site/docs/examples/multiple-vectorstores.mdx",
|
|
||||||
"sourceDirName": "examples",
|
|
||||||
"slug": "/examples/multiple-vectorstores",
|
|
||||||
"permalink": "/examples/multiple-vectorstores",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Serp API Tool",
|
|
||||||
"permalink": "/examples/serp-api-tool"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Python Function",
|
|
||||||
"permalink": "/examples/python-function"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "examples/python-function",
|
|
||||||
"id": "examples/python-function",
|
|
||||||
"title": "Python Function",
|
|
||||||
"description": "LangFlow allows you to create a customized tool using the PythonFunction connected to a Tool component. In this example, Regex is used in Python to validate a pattern.",
|
|
||||||
"source": "@site/docs/examples/python-function.mdx",
|
|
||||||
"sourceDirName": "examples",
|
|
||||||
"slug": "/examples/python-function",
|
|
||||||
"permalink": "/examples/python-function",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Multiple Vector Stores",
|
|
||||||
"permalink": "/examples/multiple-vectorstores"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "📚 How to Upload Examples?",
|
|
||||||
"permalink": "/examples/how-upload-examples"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "examples/serp-api-tool",
|
|
||||||
"id": "examples/serp-api-tool",
|
|
||||||
"title": "Serp API Tool",
|
|
||||||
"description": "The Serp API (Search Engine Results Page) allows developers to scrape results from search engines such as Google, Bing and Yahoo, and can be used as in LangFlow through the Search component.",
|
|
||||||
"source": "@site/docs/examples/serp-api-tool.mdx",
|
|
||||||
"sourceDirName": "examples",
|
|
||||||
"slug": "/examples/serp-api-tool",
|
|
||||||
"permalink": "/examples/serp-api-tool",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "CSV Loader",
|
|
||||||
"permalink": "/examples/csv-loader"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Multiple Vector Stores",
|
|
||||||
"permalink": "/examples/multiple-vectorstores"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "getting-started/creating-flows",
|
|
||||||
"id": "getting-started/creating-flows",
|
|
||||||
"title": "🎨 Creating Flows",
|
|
||||||
"description": "Compose",
|
|
||||||
"source": "@site/docs/getting-started/creating-flows.mdx",
|
|
||||||
"sourceDirName": "getting-started",
|
|
||||||
"slug": "/getting-started/creating-flows",
|
|
||||||
"permalink": "/getting-started/creating-flows",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "🤗 HuggingFace Spaces",
|
|
||||||
"permalink": "/getting-started/hugging-face-spaces"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Component",
|
|
||||||
"permalink": "/guidelines/components"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "getting-started/hugging-face-spaces",
|
|
||||||
"id": "getting-started/hugging-face-spaces",
|
|
||||||
"title": "🤗 HuggingFace Spaces",
|
|
||||||
"description": "A fully featured version of LangFlow can be accessed via HuggingFace spaces with no installation required.",
|
|
||||||
"source": "@site/docs/getting-started/hugging-face-spaces.mdx",
|
|
||||||
"sourceDirName": "getting-started",
|
|
||||||
"slug": "/getting-started/hugging-face-spaces",
|
|
||||||
"permalink": "/getting-started/hugging-face-spaces",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "📦 How to install?",
|
|
||||||
"permalink": "/getting-started/installation"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "🎨 Creating Flows",
|
|
||||||
"permalink": "/getting-started/creating-flows"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "getting-started/installation",
|
|
||||||
"id": "getting-started/installation",
|
|
||||||
"title": "📦 How to install?",
|
|
||||||
"description": "Installation",
|
|
||||||
"source": "@site/docs/getting-started/installation.md",
|
|
||||||
"sourceDirName": "getting-started",
|
|
||||||
"slug": "/getting-started/installation",
|
|
||||||
"permalink": "/getting-started/installation",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "👋 Welcome to LangFlow",
|
|
||||||
"permalink": "/"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "🤗 HuggingFace Spaces",
|
|
||||||
"permalink": "/getting-started/hugging-face-spaces"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "guidelines/collection",
|
|
||||||
"id": "guidelines/collection",
|
|
||||||
"title": "Collection",
|
|
||||||
"description": "A collection is a snapshot of the flows available in the database. You can download your entire collection for local storage and upload it anytime for future use.",
|
|
||||||
"source": "@site/docs/guidelines/collection.mdx",
|
|
||||||
"sourceDirName": "guidelines",
|
|
||||||
"slug": "/guidelines/collection",
|
|
||||||
"permalink": "/guidelines/collection",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Features",
|
|
||||||
"permalink": "/guidelines/features"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Agents",
|
|
||||||
"permalink": "/components/agents"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "guidelines/components",
|
|
||||||
"id": "guidelines/components",
|
|
||||||
"title": "Component",
|
|
||||||
"description": "Components are the building blocks of the flows. They are made of inputs, outputs, and parameters that define their functionality, providing a convenient and straightforward way to compose LLM-based applications. Learn more about components and how they work in the LangChain documentation section.",
|
|
||||||
"source": "@site/docs/guidelines/components.mdx",
|
|
||||||
"sourceDirName": "guidelines",
|
|
||||||
"slug": "/guidelines/components",
|
|
||||||
"permalink": "/guidelines/components",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "🎨 Creating Flows",
|
|
||||||
"permalink": "/getting-started/creating-flows"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Features",
|
|
||||||
"permalink": "/guidelines/features"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "guidelines/features",
|
|
||||||
"id": "guidelines/features",
|
|
||||||
"title": "Features",
|
|
||||||
"description": "When you click for New Project, you will see on the top left corner of the screen, some options such as Import, Export, Code and Save, as displayed in the image below:",
|
|
||||||
"source": "@site/docs/guidelines/features.mdx",
|
|
||||||
"sourceDirName": "guidelines",
|
|
||||||
"slug": "/guidelines/features",
|
|
||||||
"permalink": "/guidelines/features",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"previous": {
|
|
||||||
"title": "Component",
|
|
||||||
"permalink": "/guidelines/components"
|
|
||||||
},
|
|
||||||
"next": {
|
|
||||||
"title": "Collection",
|
|
||||||
"permalink": "/guidelines/collection"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"unversionedId": "index",
|
|
||||||
"id": "index",
|
|
||||||
"title": "👋 Welcome to LangFlow",
|
|
||||||
"description": "LangFlow is an easy way to prototype LangChain flows. The drag-and-drop feature allows quick and effortless experimentation, while the built-in chat interface facilitates real-time interaction. It provides options to edit prompt parameters, create chains and agents, track thought processes, and export flows.",
|
|
||||||
"source": "@site/docs/index.mdx",
|
|
||||||
"sourceDirName": ".",
|
|
||||||
"slug": "/",
|
|
||||||
"permalink": "/",
|
|
||||||
"draft": false,
|
|
||||||
"tags": [],
|
|
||||||
"version": "current",
|
|
||||||
"frontMatter": {},
|
|
||||||
"sidebar": "docs",
|
|
||||||
"next": {
|
|
||||||
"title": "📦 How to install?",
|
|
||||||
"permalink": "/getting-started/installation"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"drafts": [],
|
|
||||||
"sidebars": {
|
|
||||||
"docs": [
|
|
||||||
{
|
|
||||||
"type": "category",
|
|
||||||
"label": "Getting Started",
|
|
||||||
"collapsed": false,
|
|
||||||
"items": [
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "index"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "getting-started/installation"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "getting-started/hugging-face-spaces"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "getting-started/creating-flows"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"collapsible": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "category",
|
|
||||||
"label": "Guidelines",
|
|
||||||
"collapsed": false,
|
|
||||||
"items": [
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "guidelines/components"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "guidelines/features"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "guidelines/collection"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"collapsible": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "category",
|
|
||||||
"label": "Components",
|
|
||||||
"collapsed": false,
|
|
||||||
"items": [
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "components/agents"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "components/chains"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "components/loaders"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "components/embeddings"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "components/llms"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "components/memories"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "components/prompts"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "components/text-splitters"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "components/toolkits"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "components/tools"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "components/utilities"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "components/vector-stores"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "components/wrappers"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"collapsible": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "category",
|
|
||||||
"label": "Examples",
|
|
||||||
"collapsed": false,
|
|
||||||
"items": [
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "examples/conversation-chain"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "examples/buffer-memory"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "examples/midjourney-prompt-chain"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "examples/csv-loader"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "examples/serp-api-tool"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "examples/multiple-vectorstores"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "examples/python-function"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "examples/how-upload-examples"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"collapsible": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "category",
|
|
||||||
"label": "Deployment",
|
|
||||||
"collapsed": false,
|
|
||||||
"items": [
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "deployment/gcp-deployment"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "deployment/jina-deployment"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"collapsible": true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "category",
|
|
||||||
"label": "Contributing",
|
|
||||||
"collapsed": false,
|
|
||||||
"items": [
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "contributing/how-contribute"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "contributing/github-issues"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"type": "doc",
|
|
||||||
"id": "contributing/community"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"collapsible": true
|
|
||||||
}
|
|
||||||
]
|
|
||||||
}
|
|
||||||
}
|
|
||||||
]
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"docusaurus-plugin-content-blog": {
|
|
||||||
"default": {
|
|
||||||
"blogSidebarTitle": "Recent posts",
|
|
||||||
"blogPosts": [],
|
|
||||||
"blogListPaginated": [],
|
|
||||||
"blogTags": {},
|
|
||||||
"blogTagsListPath": "/blog/tags",
|
|
||||||
"blogTagsPaginated": []
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"docusaurus-plugin-content-pages": {
|
|
||||||
"default": [
|
|
||||||
{
|
|
||||||
"type": "mdx",
|
|
||||||
"permalink": "/markdown-page",
|
|
||||||
"source": "@site/src/pages/markdown-page.md",
|
|
||||||
"title": "Markdown page example",
|
|
||||||
"description": "You don't need React to write simple standalone pages.",
|
|
||||||
"frontMatter": {
|
|
||||||
"title": "Markdown page example"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
]
|
|
||||||
},
|
|
||||||
"docusaurus-plugin-debug": {},
|
|
||||||
"docusaurus-theme-classic": {},
|
|
||||||
"docusaurus-node-polyfills": {},
|
|
||||||
"docusaurus-plugin-image-zoom": {},
|
|
||||||
"docusaurus-tailwindcss": {},
|
|
||||||
"docusaurus-bootstrap-plugin": {},
|
|
||||||
"docusaurus-mdx-fallback-plugin": {}
|
|
||||||
}
|
|
||||||
|
|
@ -1,4 +0,0 @@
|
||||||
{
|
|
||||||
"name": "docusaurus-plugin-debug",
|
|
||||||
"id": "default"
|
|
||||||
}
|
|
||||||
|
|
@ -1,254 +0,0 @@
|
||||||
/*
|
|
||||||
* AUTOGENERATED - DON'T EDIT
|
|
||||||
* Your edits in this file will be overwritten in the next build!
|
|
||||||
* Modify the docusaurus.config.js file at your site's root instead.
|
|
||||||
*/
|
|
||||||
export default {
|
|
||||||
"title": "LangFlow Documentation",
|
|
||||||
"tagline": "LangFlow is a GUI for LangChain, designed with react-flow",
|
|
||||||
"favicon": "img/favicon.ico",
|
|
||||||
"url": "https://logspace-ai.github.io",
|
|
||||||
"baseUrl": "/",
|
|
||||||
"onBrokenLinks": "throw",
|
|
||||||
"onBrokenMarkdownLinks": "warn",
|
|
||||||
"organizationName": "logspace-ai",
|
|
||||||
"projectName": "langflow",
|
|
||||||
"trailingSlash": false,
|
|
||||||
"customFields": {
|
|
||||||
"mendableAnonKey": "b7f52734-297c-41dc-8737-edbd13196394"
|
|
||||||
},
|
|
||||||
"i18n": {
|
|
||||||
"defaultLocale": "en",
|
|
||||||
"locales": [
|
|
||||||
"en"
|
|
||||||
],
|
|
||||||
"path": "i18n",
|
|
||||||
"localeConfigs": {}
|
|
||||||
},
|
|
||||||
"presets": [
|
|
||||||
[
|
|
||||||
"@docusaurus/preset-classic",
|
|
||||||
{
|
|
||||||
"docs": {
|
|
||||||
"routeBasePath": "/",
|
|
||||||
"sidebarPath": "/home/carlos/repo/logspace/langflow/docs/sidebars.js",
|
|
||||||
"path": "docs"
|
|
||||||
},
|
|
||||||
"theme": {
|
|
||||||
"customCss": "/home/carlos/repo/logspace/langflow/docs/src/css/custom.css"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
]
|
|
||||||
],
|
|
||||||
"plugins": [
|
|
||||||
[
|
|
||||||
"docusaurus-node-polyfills",
|
|
||||||
{
|
|
||||||
"excludeAliases": [
|
|
||||||
"console"
|
|
||||||
]
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"docusaurus-plugin-image-zoom",
|
|
||||||
null
|
|
||||||
],
|
|
||||||
"themeConfig": {
|
|
||||||
"navbar": {
|
|
||||||
"hideOnScroll": true,
|
|
||||||
"title": "LangFlow",
|
|
||||||
"logo": {
|
|
||||||
"alt": "LangFlow",
|
|
||||||
"src": "img/chain.png"
|
|
||||||
},
|
|
||||||
"items": [
|
|
||||||
{
|
|
||||||
"position": "right",
|
|
||||||
"href": "https://github.com/logspace-ai/langflow",
|
|
||||||
"className": "header-github-link",
|
|
||||||
"target": "_blank",
|
|
||||||
"rel": null
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"position": "right",
|
|
||||||
"href": "https://twitter.com/logspace_ai",
|
|
||||||
"className": "header-twitter-link",
|
|
||||||
"target": "_blank",
|
|
||||||
"rel": null
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"position": "right",
|
|
||||||
"href": "https://discord.gg/EqksyE2EX9",
|
|
||||||
"className": "header-discord-link",
|
|
||||||
"target": "_blank",
|
|
||||||
"rel": null
|
|
||||||
}
|
|
||||||
]
|
|
||||||
},
|
|
||||||
"tableOfContents": {
|
|
||||||
"minHeadingLevel": 2,
|
|
||||||
"maxHeadingLevel": 5
|
|
||||||
},
|
|
||||||
"colorMode": {
|
|
||||||
"defaultMode": "light",
|
|
||||||
"disableSwitch": true,
|
|
||||||
"respectPrefersColorScheme": false
|
|
||||||
},
|
|
||||||
"announcementBar": {
|
|
||||||
"content": "⭐️ If you like ⛓️LangFlow, star it on <a target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://github.com/logspace-ai/langflow\">GitHub</a>! ⭐️",
|
|
||||||
"backgroundColor": "#B53D38",
|
|
||||||
"textColor": "#fff",
|
|
||||||
"isCloseable": false,
|
|
||||||
"id": "announcement-bar"
|
|
||||||
},
|
|
||||||
"footer": {
|
|
||||||
"links": [],
|
|
||||||
"copyright": "Copyright © 2023 Logspace.",
|
|
||||||
"style": "light"
|
|
||||||
},
|
|
||||||
"zoom": {
|
|
||||||
"selector": ".markdown :not(a) > img:not(.no-zoom)",
|
|
||||||
"background": {
|
|
||||||
"light": "rgba(240, 240, 240, 0.9)"
|
|
||||||
},
|
|
||||||
"config": {}
|
|
||||||
},
|
|
||||||
"prism": {
|
|
||||||
"theme": {
|
|
||||||
"plain": {
|
|
||||||
"color": "#393A34",
|
|
||||||
"backgroundColor": "#f6f8fa"
|
|
||||||
},
|
|
||||||
"styles": [
|
|
||||||
{
|
|
||||||
"types": [
|
|
||||||
"comment",
|
|
||||||
"prolog",
|
|
||||||
"doctype",
|
|
||||||
"cdata"
|
|
||||||
],
|
|
||||||
"style": {
|
|
||||||
"color": "#999988",
|
|
||||||
"fontStyle": "italic"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"types": [
|
|
||||||
"namespace"
|
|
||||||
],
|
|
||||||
"style": {
|
|
||||||
"opacity": 0.7
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"types": [
|
|
||||||
"string",
|
|
||||||
"attr-value"
|
|
||||||
],
|
|
||||||
"style": {
|
|
||||||
"color": "#e3116c"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"types": [
|
|
||||||
"punctuation",
|
|
||||||
"operator"
|
|
||||||
],
|
|
||||||
"style": {
|
|
||||||
"color": "#393A34"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"types": [
|
|
||||||
"entity",
|
|
||||||
"url",
|
|
||||||
"symbol",
|
|
||||||
"number",
|
|
||||||
"boolean",
|
|
||||||
"variable",
|
|
||||||
"constant",
|
|
||||||
"property",
|
|
||||||
"regex",
|
|
||||||
"inserted"
|
|
||||||
],
|
|
||||||
"style": {
|
|
||||||
"color": "#36acaa"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"types": [
|
|
||||||
"atrule",
|
|
||||||
"keyword",
|
|
||||||
"attr-name",
|
|
||||||
"selector"
|
|
||||||
],
|
|
||||||
"style": {
|
|
||||||
"color": "#00a4db"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"types": [
|
|
||||||
"function",
|
|
||||||
"deleted",
|
|
||||||
"tag"
|
|
||||||
],
|
|
||||||
"style": {
|
|
||||||
"color": "#d73a49"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"types": [
|
|
||||||
"function-variable"
|
|
||||||
],
|
|
||||||
"style": {
|
|
||||||
"color": "#6f42c1"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"types": [
|
|
||||||
"tag",
|
|
||||||
"selector",
|
|
||||||
"keyword"
|
|
||||||
],
|
|
||||||
"style": {
|
|
||||||
"color": "#00009f"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
]
|
|
||||||
},
|
|
||||||
"additionalLanguages": [],
|
|
||||||
"magicComments": [
|
|
||||||
{
|
|
||||||
"className": "theme-code-block-highlighted-line",
|
|
||||||
"line": "highlight-next-line",
|
|
||||||
"block": {
|
|
||||||
"start": "highlight-start",
|
|
||||||
"end": "highlight-end"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
]
|
|
||||||
},
|
|
||||||
"docs": {
|
|
||||||
"versionPersistence": "localStorage",
|
|
||||||
"sidebar": {
|
|
||||||
"hideable": false,
|
|
||||||
"autoCollapseCategories": false
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"metadata": []
|
|
||||||
},
|
|
||||||
"baseUrlIssueBanner": true,
|
|
||||||
"onDuplicateRoutes": "warn",
|
|
||||||
"staticDirectories": [
|
|
||||||
"static"
|
|
||||||
],
|
|
||||||
"themes": [],
|
|
||||||
"scripts": [],
|
|
||||||
"headTags": [],
|
|
||||||
"stylesheets": [],
|
|
||||||
"clientModules": [],
|
|
||||||
"titleDelimiter": "|",
|
|
||||||
"noIndex": false,
|
|
||||||
"markdown": {
|
|
||||||
"mermaid": false
|
|
||||||
}
|
|
||||||
};
|
|
||||||
|
|
@ -1,193 +0,0 @@
|
||||||
{
|
|
||||||
"docusaurus-plugin-content-docs": {
|
|
||||||
"default": {
|
|
||||||
"path": "/",
|
|
||||||
"versions": [
|
|
||||||
{
|
|
||||||
"name": "current",
|
|
||||||
"label": "Next",
|
|
||||||
"isLast": true,
|
|
||||||
"path": "/",
|
|
||||||
"mainDocId": "index",
|
|
||||||
"docs": [
|
|
||||||
{
|
|
||||||
"id": "components/agents",
|
|
||||||
"path": "/components/agents",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "components/chains",
|
|
||||||
"path": "/components/chains",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "components/embeddings",
|
|
||||||
"path": "/components/embeddings",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "components/llms",
|
|
||||||
"path": "/components/llms",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "components/loaders",
|
|
||||||
"path": "/components/loaders",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "components/memories",
|
|
||||||
"path": "/components/memories",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "components/prompts",
|
|
||||||
"path": "/components/prompts",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "components/text-splitters",
|
|
||||||
"path": "/components/text-splitters",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "components/toolkits",
|
|
||||||
"path": "/components/toolkits",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "components/tools",
|
|
||||||
"path": "/components/tools",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "components/utilities",
|
|
||||||
"path": "/components/utilities",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "components/vector-stores",
|
|
||||||
"path": "/components/vector-stores",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "components/wrappers",
|
|
||||||
"path": "/components/wrappers",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "contributing/community",
|
|
||||||
"path": "/contributing/community",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "contributing/github-issues",
|
|
||||||
"path": "/contributing/github-issues",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "contributing/how-contribute",
|
|
||||||
"path": "/contributing/how-contribute",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "deployment/gcp-deployment",
|
|
||||||
"path": "/deployment/gcp-deployment",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "deployment/jina-deployment",
|
|
||||||
"path": "/deployment/jina-deployment",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "examples/buffer-memory",
|
|
||||||
"path": "/examples/buffer-memory",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "examples/conversation-chain",
|
|
||||||
"path": "/examples/conversation-chain",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "examples/csv-loader",
|
|
||||||
"path": "/examples/csv-loader",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "examples/how-upload-examples",
|
|
||||||
"path": "/examples/how-upload-examples",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "examples/midjourney-prompt-chain",
|
|
||||||
"path": "/examples/midjourney-prompt-chain",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "examples/multiple-vectorstores",
|
|
||||||
"path": "/examples/multiple-vectorstores",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "examples/python-function",
|
|
||||||
"path": "/examples/python-function",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "examples/serp-api-tool",
|
|
||||||
"path": "/examples/serp-api-tool",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "getting-started/creating-flows",
|
|
||||||
"path": "/getting-started/creating-flows",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "getting-started/hugging-face-spaces",
|
|
||||||
"path": "/getting-started/hugging-face-spaces",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "getting-started/installation",
|
|
||||||
"path": "/getting-started/installation",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "guidelines/collection",
|
|
||||||
"path": "/guidelines/collection",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "guidelines/components",
|
|
||||||
"path": "/guidelines/components",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "guidelines/features",
|
|
||||||
"path": "/guidelines/features",
|
|
||||||
"sidebar": "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"id": "index",
|
|
||||||
"path": "/",
|
|
||||||
"sidebar": "docs"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"draftIds": [],
|
|
||||||
"sidebars": {
|
|
||||||
"docs": {
|
|
||||||
"link": {
|
|
||||||
"path": "/",
|
|
||||||
"label": "index"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"breadcrumbs": true
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,17 +0,0 @@
|
||||||
{
|
|
||||||
"defaultLocale": "en",
|
|
||||||
"locales": [
|
|
||||||
"en"
|
|
||||||
],
|
|
||||||
"path": "i18n",
|
|
||||||
"currentLocale": "en",
|
|
||||||
"localeConfigs": {
|
|
||||||
"en": {
|
|
||||||
"label": "English",
|
|
||||||
"direction": "ltr",
|
|
||||||
"htmlLang": "en",
|
|
||||||
"calendar": "gregory",
|
|
||||||
"path": "en"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,49 +0,0 @@
|
||||||
export default {
|
|
||||||
'__comp---theme-debug-config-23-a-2ff': [() => import(/* webpackChunkName: '__comp---theme-debug-config-23-a-2ff' */ '@theme/DebugConfig'), '@theme/DebugConfig', require.resolveWeak('@theme/DebugConfig')],
|
|
||||||
'__comp---theme-debug-contentba-8-ce7': [() => import(/* webpackChunkName: '__comp---theme-debug-contentba-8-ce7' */ '@theme/DebugContent'), '@theme/DebugContent', require.resolveWeak('@theme/DebugContent')],
|
|
||||||
'__comp---theme-debug-global-dataede-0fa': [() => import(/* webpackChunkName: '__comp---theme-debug-global-dataede-0fa' */ '@theme/DebugGlobalData'), '@theme/DebugGlobalData', require.resolveWeak('@theme/DebugGlobalData')],
|
|
||||||
'__comp---theme-debug-registry-679-501': [() => import(/* webpackChunkName: '__comp---theme-debug-registry-679-501' */ '@theme/DebugRegistry'), '@theme/DebugRegistry', require.resolveWeak('@theme/DebugRegistry')],
|
|
||||||
'__comp---theme-debug-routes-946-699': [() => import(/* webpackChunkName: '__comp---theme-debug-routes-946-699' */ '@theme/DebugRoutes'), '@theme/DebugRoutes', require.resolveWeak('@theme/DebugRoutes')],
|
|
||||||
'__comp---theme-debug-site-metadata-68-e-3d4': [() => import(/* webpackChunkName: '__comp---theme-debug-site-metadata-68-e-3d4' */ '@theme/DebugSiteMetadata'), '@theme/DebugSiteMetadata', require.resolveWeak('@theme/DebugSiteMetadata')],
|
|
||||||
'__comp---theme-doc-item-178-a40': [() => import(/* webpackChunkName: '__comp---theme-doc-item-178-a40' */ '@theme/DocItem'), '@theme/DocItem', require.resolveWeak('@theme/DocItem')],
|
|
||||||
'__comp---theme-doc-page-1-be-9be': [() => import(/* webpackChunkName: '__comp---theme-doc-page-1-be-9be' */ '@theme/DocPage'), '@theme/DocPage', require.resolveWeak('@theme/DocPage')],
|
|
||||||
'__comp---theme-mdx-page-1-f-3-b90': [() => import(/* webpackChunkName: '__comp---theme-mdx-page-1-f-3-b90' */ '@theme/MDXPage'), '@theme/MDXPage', require.resolveWeak('@theme/MDXPage')],
|
|
||||||
'allContent---docusaurus-debug-content-246-9aa': [() => import(/* webpackChunkName: 'allContent---docusaurus-debug-content-246-9aa' */ '~debug/default/docusaurus-debug-all-content-673.json'), '~debug/default/docusaurus-debug-all-content-673.json', require.resolveWeak('~debug/default/docusaurus-debug-all-content-673.json')],
|
|
||||||
'content---4-ed-c51': [() => import(/* webpackChunkName: 'content---4-ed-c51' */ '@site/docs/index.mdx'), '@site/docs/index.mdx', require.resolveWeak('@site/docs/index.mdx')],
|
|
||||||
'content---components-agentsf-71-168': [() => import(/* webpackChunkName: 'content---components-agentsf-71-168' */ '@site/docs/components/agents.mdx'), '@site/docs/components/agents.mdx', require.resolveWeak('@site/docs/components/agents.mdx')],
|
|
||||||
'content---components-chainsa-26-dc3': [() => import(/* webpackChunkName: 'content---components-chainsa-26-dc3' */ '@site/docs/components/chains.mdx'), '@site/docs/components/chains.mdx', require.resolveWeak('@site/docs/components/chains.mdx')],
|
|
||||||
'content---components-embeddings-99-b-31e': [() => import(/* webpackChunkName: 'content---components-embeddings-99-b-31e' */ '@site/docs/components/embeddings.mdx'), '@site/docs/components/embeddings.mdx', require.resolveWeak('@site/docs/components/embeddings.mdx')],
|
|
||||||
'content---components-llms-9-fc-45b': [() => import(/* webpackChunkName: 'content---components-llms-9-fc-45b' */ '@site/docs/components/llms.mdx'), '@site/docs/components/llms.mdx', require.resolveWeak('@site/docs/components/llms.mdx')],
|
|
||||||
'content---components-loaders-07-d-36c': [() => import(/* webpackChunkName: 'content---components-loaders-07-d-36c' */ '@site/docs/components/loaders.mdx'), '@site/docs/components/loaders.mdx', require.resolveWeak('@site/docs/components/loaders.mdx')],
|
|
||||||
'content---components-memories-135-4a8': [() => import(/* webpackChunkName: 'content---components-memories-135-4a8' */ '@site/docs/components/memories.mdx'), '@site/docs/components/memories.mdx', require.resolveWeak('@site/docs/components/memories.mdx')],
|
|
||||||
'content---components-promptsf-12-cf2': [() => import(/* webpackChunkName: 'content---components-promptsf-12-cf2' */ '@site/docs/components/prompts.mdx'), '@site/docs/components/prompts.mdx', require.resolveWeak('@site/docs/components/prompts.mdx')],
|
|
||||||
'content---components-text-splittersd-76-551': [() => import(/* webpackChunkName: 'content---components-text-splittersd-76-551' */ '@site/docs/components/text-splitters.mdx'), '@site/docs/components/text-splitters.mdx', require.resolveWeak('@site/docs/components/text-splitters.mdx')],
|
|
||||||
'content---components-toolkits-448-f8b': [() => import(/* webpackChunkName: 'content---components-toolkits-448-f8b' */ '@site/docs/components/toolkits.mdx'), '@site/docs/components/toolkits.mdx', require.resolveWeak('@site/docs/components/toolkits.mdx')],
|
|
||||||
'content---components-toolsd-90-5b7': [() => import(/* webpackChunkName: 'content---components-toolsd-90-5b7' */ '@site/docs/components/tools.mdx'), '@site/docs/components/tools.mdx', require.resolveWeak('@site/docs/components/tools.mdx')],
|
|
||||||
'content---components-utilitiesc-8-f-642': [() => import(/* webpackChunkName: 'content---components-utilitiesc-8-f-642' */ '@site/docs/components/utilities.mdx'), '@site/docs/components/utilities.mdx', require.resolveWeak('@site/docs/components/utilities.mdx')],
|
|
||||||
'content---components-vector-stores-767-994': [() => import(/* webpackChunkName: 'content---components-vector-stores-767-994' */ '@site/docs/components/vector-stores.mdx'), '@site/docs/components/vector-stores.mdx', require.resolveWeak('@site/docs/components/vector-stores.mdx')],
|
|
||||||
'content---components-wrappers-9-d-2-2f0': [() => import(/* webpackChunkName: 'content---components-wrappers-9-d-2-2f0' */ '@site/docs/components/wrappers.mdx'), '@site/docs/components/wrappers.mdx', require.resolveWeak('@site/docs/components/wrappers.mdx')],
|
|
||||||
'content---contributing-community-907-337': [() => import(/* webpackChunkName: 'content---contributing-community-907-337' */ '@site/docs/contributing/community.md'), '@site/docs/contributing/community.md', require.resolveWeak('@site/docs/contributing/community.md')],
|
|
||||||
'content---contributing-github-issues-4-c-5-990': [() => import(/* webpackChunkName: 'content---contributing-github-issues-4-c-5-990' */ '@site/docs/contributing/github-issues.md'), '@site/docs/contributing/github-issues.md', require.resolveWeak('@site/docs/contributing/github-issues.md')],
|
|
||||||
'content---contributing-how-contributef-3-e-097': [() => import(/* webpackChunkName: 'content---contributing-how-contributef-3-e-097' */ '@site/docs/contributing/how-contribute.md'), '@site/docs/contributing/how-contribute.md', require.resolveWeak('@site/docs/contributing/how-contribute.md')],
|
|
||||||
'content---deployment-gcp-deployment-6-ce-4a0': [() => import(/* webpackChunkName: 'content---deployment-gcp-deployment-6-ce-4a0' */ '@site/docs/deployment/gcp-deployment.md'), '@site/docs/deployment/gcp-deployment.md', require.resolveWeak('@site/docs/deployment/gcp-deployment.md')],
|
|
||||||
'content---deployment-jina-deployment-8-ed-18b': [() => import(/* webpackChunkName: 'content---deployment-jina-deployment-8-ed-18b' */ '@site/docs/deployment/jina-deployment.md'), '@site/docs/deployment/jina-deployment.md', require.resolveWeak('@site/docs/deployment/jina-deployment.md')],
|
|
||||||
'content---examples-buffer-memory-1-bb-8a0': [() => import(/* webpackChunkName: 'content---examples-buffer-memory-1-bb-8a0' */ '@site/docs/examples/buffer-memory.mdx'), '@site/docs/examples/buffer-memory.mdx', require.resolveWeak('@site/docs/examples/buffer-memory.mdx')],
|
|
||||||
'content---examples-conversation-chain-88-c-94f': [() => import(/* webpackChunkName: 'content---examples-conversation-chain-88-c-94f' */ '@site/docs/examples/conversation-chain.mdx'), '@site/docs/examples/conversation-chain.mdx', require.resolveWeak('@site/docs/examples/conversation-chain.mdx')],
|
|
||||||
'content---examples-csv-loaderbe-3-0e5': [() => import(/* webpackChunkName: 'content---examples-csv-loaderbe-3-0e5' */ '@site/docs/examples/csv-loader.mdx'), '@site/docs/examples/csv-loader.mdx', require.resolveWeak('@site/docs/examples/csv-loader.mdx')],
|
|
||||||
'content---examples-how-upload-examples-80-f-9ad': [() => import(/* webpackChunkName: 'content---examples-how-upload-examples-80-f-9ad' */ '@site/docs/examples/how-upload-examples.mdx'), '@site/docs/examples/how-upload-examples.mdx', require.resolveWeak('@site/docs/examples/how-upload-examples.mdx')],
|
|
||||||
'content---examples-midjourney-prompt-chaine-03-57a': [() => import(/* webpackChunkName: 'content---examples-midjourney-prompt-chaine-03-57a' */ '@site/docs/examples/midjourney-prompt-chain.mdx'), '@site/docs/examples/midjourney-prompt-chain.mdx', require.resolveWeak('@site/docs/examples/midjourney-prompt-chain.mdx')],
|
|
||||||
'content---examples-multiple-vectorstores-604-46d': [() => import(/* webpackChunkName: 'content---examples-multiple-vectorstores-604-46d' */ '@site/docs/examples/multiple-vectorstores.mdx'), '@site/docs/examples/multiple-vectorstores.mdx', require.resolveWeak('@site/docs/examples/multiple-vectorstores.mdx')],
|
|
||||||
'content---examples-python-functiond-80-94d': [() => import(/* webpackChunkName: 'content---examples-python-functiond-80-94d' */ '@site/docs/examples/python-function.mdx'), '@site/docs/examples/python-function.mdx', require.resolveWeak('@site/docs/examples/python-function.mdx')],
|
|
||||||
'content---examples-serp-api-tool-6-d-1-3c7': [() => import(/* webpackChunkName: 'content---examples-serp-api-tool-6-d-1-3c7' */ '@site/docs/examples/serp-api-tool.mdx'), '@site/docs/examples/serp-api-tool.mdx', require.resolveWeak('@site/docs/examples/serp-api-tool.mdx')],
|
|
||||||
'content---getting-started-creating-flows-2-e-2-b45': [() => import(/* webpackChunkName: 'content---getting-started-creating-flows-2-e-2-b45' */ '@site/docs/getting-started/creating-flows.mdx'), '@site/docs/getting-started/creating-flows.mdx', require.resolveWeak('@site/docs/getting-started/creating-flows.mdx')],
|
|
||||||
'content---getting-started-hugging-face-spaces-3-b-5-38b': [() => import(/* webpackChunkName: 'content---getting-started-hugging-face-spaces-3-b-5-38b' */ '@site/docs/getting-started/hugging-face-spaces.mdx'), '@site/docs/getting-started/hugging-face-spaces.mdx', require.resolveWeak('@site/docs/getting-started/hugging-face-spaces.mdx')],
|
|
||||||
'content---getting-started-installation-54-f-988': [() => import(/* webpackChunkName: 'content---getting-started-installation-54-f-988' */ '@site/docs/getting-started/installation.md'), '@site/docs/getting-started/installation.md', require.resolveWeak('@site/docs/getting-started/installation.md')],
|
|
||||||
'content---guidelines-collection-080-aaf': [() => import(/* webpackChunkName: 'content---guidelines-collection-080-aaf' */ '@site/docs/guidelines/collection.mdx'), '@site/docs/guidelines/collection.mdx', require.resolveWeak('@site/docs/guidelines/collection.mdx')],
|
|
||||||
'content---guidelines-components-289-58a': [() => import(/* webpackChunkName: 'content---guidelines-components-289-58a' */ '@site/docs/guidelines/components.mdx'), '@site/docs/guidelines/components.mdx', require.resolveWeak('@site/docs/guidelines/components.mdx')],
|
|
||||||
'content---guidelines-features-22-e-841': [() => import(/* webpackChunkName: 'content---guidelines-features-22-e-841' */ '@site/docs/guidelines/features.mdx'), '@site/docs/guidelines/features.mdx', require.resolveWeak('@site/docs/guidelines/features.mdx')],
|
|
||||||
'content---markdown-page-393-028': [() => import(/* webpackChunkName: 'content---markdown-page-393-028' */ '@site/src/pages/markdown-page.md'), '@site/src/pages/markdown-page.md', require.resolveWeak('@site/src/pages/markdown-page.md')],
|
|
||||||
'plugin---8-d-8-3f8': [() => import(/* webpackChunkName: 'plugin---8-d-8-3f8' */ '/home/carlos/repo/logspace/langflow/docs/.docusaurus/docusaurus-plugin-content-docs/default/plugin-route-context-module-100.json'), '/home/carlos/repo/logspace/langflow/docs/.docusaurus/docusaurus-plugin-content-docs/default/plugin-route-context-module-100.json', require.resolveWeak('/home/carlos/repo/logspace/langflow/docs/.docusaurus/docusaurus-plugin-content-docs/default/plugin-route-context-module-100.json')],
|
|
||||||
'plugin---docusaurus-debug-667-210': [() => import(/* webpackChunkName: 'plugin---docusaurus-debug-667-210' */ '/home/carlos/repo/logspace/langflow/docs/.docusaurus/docusaurus-plugin-debug/default/plugin-route-context-module-100.json'), '/home/carlos/repo/logspace/langflow/docs/.docusaurus/docusaurus-plugin-debug/default/plugin-route-context-module-100.json', require.resolveWeak('/home/carlos/repo/logspace/langflow/docs/.docusaurus/docusaurus-plugin-debug/default/plugin-route-context-module-100.json')],
|
|
||||||
'plugin---markdown-page-3-a-8-829': [() => import(/* webpackChunkName: 'plugin---markdown-page-3-a-8-829' */ '/home/carlos/repo/logspace/langflow/docs/.docusaurus/docusaurus-plugin-content-pages/default/plugin-route-context-module-100.json'), '/home/carlos/repo/logspace/langflow/docs/.docusaurus/docusaurus-plugin-content-pages/default/plugin-route-context-module-100.json', require.resolveWeak('/home/carlos/repo/logspace/langflow/docs/.docusaurus/docusaurus-plugin-content-pages/default/plugin-route-context-module-100.json')],
|
|
||||||
'versionMetadata---935-fcf': [() => import(/* webpackChunkName: 'versionMetadata---935-fcf' */ '~docs/default/version-current-metadata-prop-751.json'), '~docs/default/version-current-metadata-prop-751.json', require.resolveWeak('~docs/default/version-current-metadata-prop-751.json')],};
|
|
||||||
|
|
@ -1,253 +0,0 @@
|
||||||
import React from 'react';
|
|
||||||
import ComponentCreator from '@docusaurus/ComponentCreator';
|
|
||||||
|
|
||||||
export default [
|
|
||||||
{
|
|
||||||
path: '/__docusaurus/debug',
|
|
||||||
component: ComponentCreator('/__docusaurus/debug', '437'),
|
|
||||||
exact: true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/__docusaurus/debug/config',
|
|
||||||
component: ComponentCreator('/__docusaurus/debug/config', 'f3c'),
|
|
||||||
exact: true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/__docusaurus/debug/content',
|
|
||||||
component: ComponentCreator('/__docusaurus/debug/content', '5ed'),
|
|
||||||
exact: true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/__docusaurus/debug/globalData',
|
|
||||||
component: ComponentCreator('/__docusaurus/debug/globalData', '6e2'),
|
|
||||||
exact: true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/__docusaurus/debug/metadata',
|
|
||||||
component: ComponentCreator('/__docusaurus/debug/metadata', '00b'),
|
|
||||||
exact: true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/__docusaurus/debug/registry',
|
|
||||||
component: ComponentCreator('/__docusaurus/debug/registry', '46d'),
|
|
||||||
exact: true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/__docusaurus/debug/routes',
|
|
||||||
component: ComponentCreator('/__docusaurus/debug/routes', 'ce2'),
|
|
||||||
exact: true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/markdown-page',
|
|
||||||
component: ComponentCreator('/markdown-page', 'd68'),
|
|
||||||
exact: true
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/',
|
|
||||||
component: ComponentCreator('/', '73a'),
|
|
||||||
routes: [
|
|
||||||
{
|
|
||||||
path: '/',
|
|
||||||
component: ComponentCreator('/', '08f'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/components/agents',
|
|
||||||
component: ComponentCreator('/components/agents', '843'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/components/chains',
|
|
||||||
component: ComponentCreator('/components/chains', '7ac'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/components/embeddings',
|
|
||||||
component: ComponentCreator('/components/embeddings', '9c7'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/components/llms',
|
|
||||||
component: ComponentCreator('/components/llms', 'ae5'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/components/loaders',
|
|
||||||
component: ComponentCreator('/components/loaders', '80c'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/components/memories',
|
|
||||||
component: ComponentCreator('/components/memories', '723'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/components/prompts',
|
|
||||||
component: ComponentCreator('/components/prompts', '268'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/components/text-splitters',
|
|
||||||
component: ComponentCreator('/components/text-splitters', '7f3'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/components/toolkits',
|
|
||||||
component: ComponentCreator('/components/toolkits', 'b6c'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/components/tools',
|
|
||||||
component: ComponentCreator('/components/tools', '960'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/components/utilities',
|
|
||||||
component: ComponentCreator('/components/utilities', '24a'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/components/vector-stores',
|
|
||||||
component: ComponentCreator('/components/vector-stores', 'bca'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/components/wrappers',
|
|
||||||
component: ComponentCreator('/components/wrappers', 'f16'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/contributing/community',
|
|
||||||
component: ComponentCreator('/contributing/community', 'a0d'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/contributing/github-issues',
|
|
||||||
component: ComponentCreator('/contributing/github-issues', 'bba'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/contributing/how-contribute',
|
|
||||||
component: ComponentCreator('/contributing/how-contribute', '3f1'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/deployment/gcp-deployment',
|
|
||||||
component: ComponentCreator('/deployment/gcp-deployment', '4f2'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/deployment/jina-deployment',
|
|
||||||
component: ComponentCreator('/deployment/jina-deployment', 'def'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/examples/buffer-memory',
|
|
||||||
component: ComponentCreator('/examples/buffer-memory', 'b72'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/examples/conversation-chain',
|
|
||||||
component: ComponentCreator('/examples/conversation-chain', '0ce'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/examples/csv-loader',
|
|
||||||
component: ComponentCreator('/examples/csv-loader', '6f7'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/examples/how-upload-examples',
|
|
||||||
component: ComponentCreator('/examples/how-upload-examples', '274'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/examples/midjourney-prompt-chain',
|
|
||||||
component: ComponentCreator('/examples/midjourney-prompt-chain', 'a73'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/examples/multiple-vectorstores',
|
|
||||||
component: ComponentCreator('/examples/multiple-vectorstores', '7b0'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/examples/python-function',
|
|
||||||
component: ComponentCreator('/examples/python-function', '1d9'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/examples/serp-api-tool',
|
|
||||||
component: ComponentCreator('/examples/serp-api-tool', '9d4'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/getting-started/creating-flows',
|
|
||||||
component: ComponentCreator('/getting-started/creating-flows', '362'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/getting-started/hugging-face-spaces',
|
|
||||||
component: ComponentCreator('/getting-started/hugging-face-spaces', 'a7a'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/getting-started/installation',
|
|
||||||
component: ComponentCreator('/getting-started/installation', 'd04'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/guidelines/collection',
|
|
||||||
component: ComponentCreator('/guidelines/collection', '0cc'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/guidelines/components',
|
|
||||||
component: ComponentCreator('/guidelines/components', 'df5'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '/guidelines/features',
|
|
||||||
component: ComponentCreator('/guidelines/features', '648'),
|
|
||||||
exact: true,
|
|
||||||
sidebar: "docs"
|
|
||||||
}
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
|
||||||
path: '*',
|
|
||||||
component: ComponentCreator('*'),
|
|
||||||
},
|
|
||||||
];
|
|
||||||
|
|
@ -1,191 +0,0 @@
|
||||||
{
|
|
||||||
"/__docusaurus/debug-437": {
|
|
||||||
"__comp": "__comp---theme-debug-config-23-a-2ff",
|
|
||||||
"__context": {
|
|
||||||
"plugin": "plugin---docusaurus-debug-667-210"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"/__docusaurus/debug/config-f3c": {
|
|
||||||
"__comp": "__comp---theme-debug-config-23-a-2ff",
|
|
||||||
"__context": {
|
|
||||||
"plugin": "plugin---docusaurus-debug-667-210"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"/__docusaurus/debug/content-5ed": {
|
|
||||||
"__comp": "__comp---theme-debug-contentba-8-ce7",
|
|
||||||
"__context": {
|
|
||||||
"plugin": "plugin---docusaurus-debug-667-210"
|
|
||||||
},
|
|
||||||
"allContent": "allContent---docusaurus-debug-content-246-9aa"
|
|
||||||
},
|
|
||||||
"/__docusaurus/debug/globalData-6e2": {
|
|
||||||
"__comp": "__comp---theme-debug-global-dataede-0fa",
|
|
||||||
"__context": {
|
|
||||||
"plugin": "plugin---docusaurus-debug-667-210"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"/__docusaurus/debug/metadata-00b": {
|
|
||||||
"__comp": "__comp---theme-debug-site-metadata-68-e-3d4",
|
|
||||||
"__context": {
|
|
||||||
"plugin": "plugin---docusaurus-debug-667-210"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"/__docusaurus/debug/registry-46d": {
|
|
||||||
"__comp": "__comp---theme-debug-registry-679-501",
|
|
||||||
"__context": {
|
|
||||||
"plugin": "plugin---docusaurus-debug-667-210"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"/__docusaurus/debug/routes-ce2": {
|
|
||||||
"__comp": "__comp---theme-debug-routes-946-699",
|
|
||||||
"__context": {
|
|
||||||
"plugin": "plugin---docusaurus-debug-667-210"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"/markdown-page-d68": {
|
|
||||||
"__comp": "__comp---theme-mdx-page-1-f-3-b90",
|
|
||||||
"__context": {
|
|
||||||
"plugin": "plugin---markdown-page-3-a-8-829"
|
|
||||||
},
|
|
||||||
"content": "content---markdown-page-393-028"
|
|
||||||
},
|
|
||||||
"/-73a": {
|
|
||||||
"__comp": "__comp---theme-doc-page-1-be-9be",
|
|
||||||
"__context": {
|
|
||||||
"plugin": "plugin---8-d-8-3f8"
|
|
||||||
},
|
|
||||||
"versionMetadata": "versionMetadata---935-fcf"
|
|
||||||
},
|
|
||||||
"/-08f": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---4-ed-c51"
|
|
||||||
},
|
|
||||||
"/components/agents-843": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---components-agentsf-71-168"
|
|
||||||
},
|
|
||||||
"/components/chains-7ac": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---components-chainsa-26-dc3"
|
|
||||||
},
|
|
||||||
"/components/embeddings-9c7": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---components-embeddings-99-b-31e"
|
|
||||||
},
|
|
||||||
"/components/llms-ae5": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---components-llms-9-fc-45b"
|
|
||||||
},
|
|
||||||
"/components/loaders-80c": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---components-loaders-07-d-36c"
|
|
||||||
},
|
|
||||||
"/components/memories-723": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---components-memories-135-4a8"
|
|
||||||
},
|
|
||||||
"/components/prompts-268": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---components-promptsf-12-cf2"
|
|
||||||
},
|
|
||||||
"/components/text-splitters-7f3": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---components-text-splittersd-76-551"
|
|
||||||
},
|
|
||||||
"/components/toolkits-b6c": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---components-toolkits-448-f8b"
|
|
||||||
},
|
|
||||||
"/components/tools-960": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---components-toolsd-90-5b7"
|
|
||||||
},
|
|
||||||
"/components/utilities-24a": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---components-utilitiesc-8-f-642"
|
|
||||||
},
|
|
||||||
"/components/vector-stores-bca": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---components-vector-stores-767-994"
|
|
||||||
},
|
|
||||||
"/components/wrappers-f16": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---components-wrappers-9-d-2-2f0"
|
|
||||||
},
|
|
||||||
"/contributing/community-a0d": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---contributing-community-907-337"
|
|
||||||
},
|
|
||||||
"/contributing/github-issues-bba": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---contributing-github-issues-4-c-5-990"
|
|
||||||
},
|
|
||||||
"/contributing/how-contribute-3f1": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---contributing-how-contributef-3-e-097"
|
|
||||||
},
|
|
||||||
"/deployment/gcp-deployment-4f2": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---deployment-gcp-deployment-6-ce-4a0"
|
|
||||||
},
|
|
||||||
"/deployment/jina-deployment-def": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---deployment-jina-deployment-8-ed-18b"
|
|
||||||
},
|
|
||||||
"/examples/buffer-memory-b72": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---examples-buffer-memory-1-bb-8a0"
|
|
||||||
},
|
|
||||||
"/examples/conversation-chain-0ce": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---examples-conversation-chain-88-c-94f"
|
|
||||||
},
|
|
||||||
"/examples/csv-loader-6f7": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---examples-csv-loaderbe-3-0e5"
|
|
||||||
},
|
|
||||||
"/examples/how-upload-examples-274": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---examples-how-upload-examples-80-f-9ad"
|
|
||||||
},
|
|
||||||
"/examples/midjourney-prompt-chain-a73": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---examples-midjourney-prompt-chaine-03-57a"
|
|
||||||
},
|
|
||||||
"/examples/multiple-vectorstores-7b0": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---examples-multiple-vectorstores-604-46d"
|
|
||||||
},
|
|
||||||
"/examples/python-function-1d9": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---examples-python-functiond-80-94d"
|
|
||||||
},
|
|
||||||
"/examples/serp-api-tool-9d4": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---examples-serp-api-tool-6-d-1-3c7"
|
|
||||||
},
|
|
||||||
"/getting-started/creating-flows-362": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---getting-started-creating-flows-2-e-2-b45"
|
|
||||||
},
|
|
||||||
"/getting-started/hugging-face-spaces-a7a": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---getting-started-hugging-face-spaces-3-b-5-38b"
|
|
||||||
},
|
|
||||||
"/getting-started/installation-d04": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---getting-started-installation-54-f-988"
|
|
||||||
},
|
|
||||||
"/guidelines/collection-0cc": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---guidelines-collection-080-aaf"
|
|
||||||
},
|
|
||||||
"/guidelines/components-df5": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---guidelines-components-289-58a"
|
|
||||||
},
|
|
||||||
"/guidelines/features-648": {
|
|
||||||
"__comp": "__comp---theme-doc-item-178-a40",
|
|
||||||
"content": "content---guidelines-features-22-e-841"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
@ -1,44 +0,0 @@
|
||||||
{
|
|
||||||
"docusaurusVersion": "2.4.1",
|
|
||||||
"siteVersion": "0.0.0",
|
|
||||||
"pluginVersions": {
|
|
||||||
"docusaurus-plugin-content-docs": {
|
|
||||||
"type": "package",
|
|
||||||
"name": "@docusaurus/plugin-content-docs",
|
|
||||||
"version": "2.4.1"
|
|
||||||
},
|
|
||||||
"docusaurus-plugin-content-blog": {
|
|
||||||
"type": "package",
|
|
||||||
"name": "@docusaurus/plugin-content-blog",
|
|
||||||
"version": "2.4.1"
|
|
||||||
},
|
|
||||||
"docusaurus-plugin-content-pages": {
|
|
||||||
"type": "package",
|
|
||||||
"name": "@docusaurus/plugin-content-pages",
|
|
||||||
"version": "2.4.1"
|
|
||||||
},
|
|
||||||
"docusaurus-plugin-debug": {
|
|
||||||
"type": "package",
|
|
||||||
"name": "@docusaurus/plugin-debug",
|
|
||||||
"version": "2.4.1"
|
|
||||||
},
|
|
||||||
"docusaurus-theme-classic": {
|
|
||||||
"type": "package",
|
|
||||||
"name": "@docusaurus/theme-classic",
|
|
||||||
"version": "2.4.1"
|
|
||||||
},
|
|
||||||
"docusaurus-node-polyfills": {
|
|
||||||
"type": "package",
|
|
||||||
"name": "docusaurus-node-polyfills",
|
|
||||||
"version": "1.0.0"
|
|
||||||
},
|
|
||||||
"docusaurus-plugin-image-zoom": {
|
|
||||||
"type": "package",
|
|
||||||
"name": "docusaurus-plugin-image-zoom",
|
|
||||||
"version": "0.1.4"
|
|
||||||
},
|
|
||||||
"docusaurus-tailwindcss": {
|
|
||||||
"type": "local"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
Loading…
Add table
Add a link
Reference in a new issue