improved mendable file and centralized videos.

This commit is contained in:
carlosrcoelho 2023-06-23 14:08:45 -03:00
commit 14a0dd0b16
6 changed files with 25 additions and 14 deletions

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@ -7,17 +7,14 @@ export default {
"title": "LangFlow Documentation", "title": "LangFlow Documentation",
"tagline": "LangFlow is a GUI for LangChain, designed with react-flow", "tagline": "LangFlow is a GUI for LangChain, designed with react-flow",
"favicon": "img/favicon.ico", "favicon": "img/favicon.ico",
"url": "https://langflow-docs.github.io", "url": "https://langflow.docs.com",
"baseUrl": "/", "baseUrl": "/",
"onBrokenLinks": "throw", "onBrokenLinks": "throw",
"onBrokenMarkdownLinks": "warn", "onBrokenMarkdownLinks": "warn",
"organizationName": "logspace-ai", "organizationName": "logspace-ai",
"projectName": "langflow", "projectName": "langflow",
"deploymentBranch": "gh pages",
"trailingSlash": false, "trailingSlash": false,
"customFields": { "customFields": {},
"mendableAnonKey": "b7f52734-297c-41dc-8737-edbd13196394"
},
"i18n": { "i18n": {
"defaultLocale": "en", "defaultLocale": "en",
"locales": [ "locales": [

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@ -7,4 +7,7 @@ import ReactPlayer from 'react-player';
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. 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.
<ReactPlayer playing controls url='videos/langflow_collection.mp4' /> <div style={{ marginBottom: '20px', display: 'flex', justifyContent: 'center' }}>
<ReactPlayer playing controls url='videos/langflow_collection.mp4'
/>
</div>

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@ -38,4 +38,7 @@ On the top right corner, you will find the component status icon 🔴. Make the
LangFlow components can be edited in the component settings button. Hide parameters to reduce complexity and keep the canvas clean and intuitive for experimentation. LangFlow components can be edited in the component settings button. Hide parameters to reduce complexity and keep the canvas clean and intuitive for experimentation.
<ReactPlayer playing controls url='videos/langflow_parameters.mp4' /> <div style={{ marginBottom: '20px', display: 'flex', justifyContent: 'center' }}>
<ReactPlayer playing controls url='videos/langflow_parameters.mp4'
/>
</div>

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@ -21,11 +21,17 @@ Creating flows with LangFlow is easy. Drag sidebar components onto the canvas an
The easiest way to start with LangFlow is by forking a **community example**. Forking an example stores a copy in your project collection, allowing you to edit and save the modified version as a new flow. The easiest way to start with LangFlow is by forking a **community example**. Forking an example stores a copy in your project collection, allowing you to edit and save the modified version as a new flow.
<ReactPlayer playing controls url='videos/langflow_fork.mp4' /> <div style={{ marginBottom: '20px', display: 'flex', justifyContent: 'center' }}>
<p></p> <ReactPlayer playing controls url='videos/langflow_fork.mp4'
/>
</div>
## Build ## Build
Building a flow means validating if the components have prerequisites fulfilled and are properly instantiated. When a chat message is sent, the flow will run for the first time, executing the pipeline. Building a flow means validating if the components have prerequisites fulfilled and are properly instantiated. When a chat message is sent, the flow will run for the first time, executing the pipeline.
<ReactPlayer playing controls url='videos/langflow_build.mp4' /> <div style={{ marginBottom: '20px', display: 'flex', justifyContent: 'center' }}>
<ReactPlayer playing controls url='videos/langflow_build.mp4'
/>
</div>

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@ -58,4 +58,7 @@ Once you save a flow, the API endpoint is created with your latest changes. Clic
The example below shows a Python script making a POST request to a local API endpoint, which gets a prediction based on the message input. The example below shows a Python script making a POST request to a local API endpoint, which gets a prediction based on the message input.
<ReactPlayer playing controls url='videos/langflow_api.mp4' /> <div style={{ marginBottom: '20px', display: 'flex', justifyContent: 'center' }}>
<ReactPlayer playing controls url='videos/langflow_api.mp4'
/>
</div>

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@ -7,16 +7,15 @@ const lightCodeTheme = require('prism-react-renderer/themes/github');
title: 'LangFlow Documentation', title: 'LangFlow Documentation',
tagline: 'LangFlow is a GUI for LangChain, designed with react-flow', tagline: 'LangFlow is a GUI for LangChain, designed with react-flow',
favicon: 'img/favicon.ico', favicon: 'img/favicon.ico',
url: 'https://langflow-docs.github.io', url: 'https://langflow.docs.com',
baseUrl: '/', baseUrl: '/',
onBrokenLinks: 'throw', onBrokenLinks: 'throw',
onBrokenMarkdownLinks: 'warn', onBrokenMarkdownLinks: 'warn',
organizationName: 'logspace-ai', organizationName: 'logspace-ai',
projectName: 'langflow', projectName: 'langflow',
deploymentBranch: 'gh pages',
trailingSlash: false, trailingSlash: false,
customFields: { customFields: {
mendableAnonKey: "b7f52734-297c-41dc-8737-edbd13196394", mendableAnonKey: process.env.MENDABLE_ANON_KEY,
}, },
i18n: { i18n: {
defaultLocale: 'en', defaultLocale: 'en',