feat: add needle as custom component (#4657)

* init: add needle as custom component

* [autofix.ci] apply automated fixes

* [autofix.ci] apply automated fixes (attempt 2/3)

* stage changes

* upgrate: langchain-community

* lint

* [autofix.ci] apply automated fixes

* techdebt: package-lock.json

* [autofix.ci] apply automated fixes

* techdebt: lint with working needle

* techdebt: use Component class and Integrate with other components

* techdebt: adjust needle component

* [autofix.ci] apply automated fixes

* lint

* fix: package json & lock not in sync

* chore: remove outdated dependencies from pyproject.toml

* Removed pyautogen and several langchain-related packages to streamline dependencies and reduce potential conflicts.

* [autofix.ci] apply automated fixes

* refactor: simplify needle component API key handling and clean up imports

* Streamlined API key retrieval by removing unnecessary SecretStr usage, defaulting to empty strings if keys are not provided.
* Consolidated import statements for better readability and organization.

---------

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
This commit is contained in:
Jan Heimes 2024-12-16 16:11:31 +01:00 committed by GitHub
commit e8667009b7
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GPG key ID: B5690EEEBB952194
11 changed files with 662 additions and 345 deletions

View file

@ -104,9 +104,11 @@ dependencies = [
"langchain-google-community==2.0.3",
"langchain-elasticsearch==0.3.0",
"langchain-ollama==0.2.1",
"langchain-community~=0.3.10",
"sqlalchemy[aiosqlite,postgresql_psycopg2binary,postgresql_psycopgbinary]>=2.0.36,<3.0.0",
"atlassian-python-api==3.41.16",
"mem0ai==0.1.34",
"needle-python>=0.4.0",
"aiofile>=3.9.0,<4.0.0",
"sseclient-py==1.8.0",
"arize-phoenix-otel>=0.6.1",

View file

@ -0,0 +1,3 @@
from .needle import NeedleComponent
__all__ = ["NeedleComponent"]

View file

@ -0,0 +1,129 @@
from langchain.chains import ConversationalRetrievalChain
from langchain_community.retrievers.needle import NeedleRetriever
from langchain_openai import ChatOpenAI
from langflow.custom.custom_component.component import Component
from langflow.io import DropdownInput, Output, SecretStrInput, StrInput
from langflow.schema.message import Message
from langflow.utils.constants import MESSAGE_SENDER_AI
class NeedleComponent(Component):
display_name = "Needle Retriever"
description = "A retriever that uses the Needle API to search collections " "and generates responses using OpenAI."
documentation = "https://docs.needle-ai.com"
icon = "search"
name = "needle"
inputs = [
SecretStrInput(
name="needle_api_key",
display_name="Needle API Key",
info="Your Needle API key.",
required=True,
),
SecretStrInput(
name="openai_api_key",
display_name="OpenAI API Key",
info="Your OpenAI API key.",
required=True,
),
StrInput(
name="collection_id",
display_name="Collection ID",
info="The ID of the Needle collection.",
required=True,
),
StrInput(
name="query",
display_name="User Query",
info="Enter your question here.",
required=True,
),
DropdownInput(
name="output_type",
display_name="Output Type",
info="Return either the answer or the chunks.",
options=["answer", "chunks"],
value="answer",
required=True,
),
]
outputs = [Output(display_name="Result", name="result", type_="Message", method="run")]
def run(self) -> Message:
needle_api_key = self.needle_api_key or ""
openai_api_key = self.openai_api_key or ""
collection_id = self.collection_id
query = self.query
output_type = self.output_type
# Define error messages
needle_api_key = "The Needle API key cannot be empty."
openai_api_key = "The OpenAI API key cannot be empty."
collection_id_error = "The Collection ID cannot be empty."
query_error = "The query cannot be empty."
# Validate inputs
if not needle_api_key.strip():
raise ValueError(needle_api_key)
if not openai_api_key.strip():
raise ValueError(openai_api_key)
if not collection_id.strip():
raise ValueError(collection_id_error)
if not query.strip():
raise ValueError(query_error)
# Handle output_type if it's somehow a list
if isinstance(output_type, list):
output_type = output_type[0]
try:
# Initialize the retriever
retriever = NeedleRetriever(
needle_api_key=needle_api_key,
collection_id=collection_id,
)
# Create the chain
llm = ChatOpenAI(
temperature=0.7,
api_key=openai_api_key,
)
qa_chain = ConversationalRetrievalChain.from_llm(
llm=llm,
retriever=retriever,
return_source_documents=True,
)
# Process the query
result = qa_chain({"question": query, "chat_history": []})
# Format content based on output type
if str(output_type).lower().strip() == "chunks":
# If chunks selected, include full context and answer
docs = result["source_documents"]
context = "\n\n".join([f"Document {i+1}:\n{doc.page_content}" for i, doc in enumerate(docs)])
text_content = f"Question: {query}\n\n" f"Context:\n{context}\n\n" f"Answer: {result['answer']}"
else:
# If answer selected, only include the answer
text_content = result["answer"]
# Create a Message object following chat.py pattern
return Message(
text=text_content,
type="assistant",
sender=MESSAGE_SENDER_AI,
additional_kwargs={
"source_documents": [
{"page_content": doc.page_content, "metadata": doc.metadata}
for doc in result["source_documents"]
]
},
)
except Exception as e:
error_msg = f"Error processing query: {e!s}"
raise ValueError(error_msg) from e

View file

@ -1,9 +1,11 @@
from .amazon_kendra import AmazonKendraRetrieverComponent
from .metal import MetalRetrieverComponent
from .multi_query import MultiQueryRetrieverComponent
from .needle import NeedleRetriever
__all__ = [
"AmazonKendraRetrieverComponent",
"MetalRetrieverComponent",
"MultiQueryRetrieverComponent",
"NeedleRetriever",
]

View file

@ -111,7 +111,8 @@ dependencies = [
"httpx[http2]>=0.27,<1.0.0",
"uvicorn>=0.30.0,<1.0.0",
"gunicorn>=22.0.0,<24.0.0",
"langchain~=0.3.3",
"langchain~=0.3.10",
"langchain-community~=0.3.10",
"langchain-core~=0.3.15",
"langchainhub~=0.1.15",
"loguru>=0.7.1,<1.0.0",

View file

@ -206,9 +206,9 @@
}
},
"node_modules/@babel/compat-data": {
"version": "7.26.2",
"resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.26.2.tgz",
"integrity": "sha512-Z0WgzSEa+aUcdiJuCIqgujCshpMWgUpgOxXotrYPSA53hA3qopNaqcJpyr0hVb1FeWdnqFA35/fUtXgBK8srQg==",
"version": "7.26.3",
"resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.26.3.tgz",
"integrity": "sha512-nHIxvKPniQXpmQLb0vhY3VaFb3S0YrTAwpOWJZh1wn3oJPjJk9Asva204PsBdmAE8vpzfHudT8DB0scYvy9q0g==",
"license": "MIT",
"engines": {
"node": ">=6.9.0"
@ -260,13 +260,13 @@
}
},
"node_modules/@babel/generator": {
"version": "7.26.2",
"resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.26.2.tgz",
"integrity": "sha512-zevQbhbau95nkoxSq3f/DC/SC+EEOUZd3DYqfSkMhY2/wfSeaHV1Ew4vk8e+x8lja31IbyuUa2uQ3JONqKbysw==",
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"license": "MIT",
"dependencies": {
"@babel/parser": "^7.26.2",
"@babel/types": "^7.26.0",
"@babel/parser": "^7.26.3",
"@babel/types": "^7.26.3",
"@jridgewell/gen-mapping": "^0.3.5",
"@jridgewell/trace-mapping": "^0.3.25",
"jsesc": "^3.0.2"
@ -477,12 +477,12 @@
}
},
"node_modules/@babel/parser": {
"version": "7.26.2",
"resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.26.2.tgz",
"integrity": "sha512-DWMCZH9WA4Maitz2q21SRKHo9QXZxkDsbNZoVD62gusNtNBBqDg9i7uOhASfTfIGNzW+O+r7+jAlM8dwphcJKQ==",
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"resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.26.3.tgz",
"integrity": "sha512-WJ/CvmY8Mea8iDXo6a7RK2wbmJITT5fN3BEkRuFlxVyNx8jOKIIhmC4fSkTcPcf8JyavbBwIe6OpiCOBXt/IcA==",
"license": "MIT",
"dependencies": {
"@babel/types": "^7.26.0"
"@babel/types": "^7.26.3"
},
"bin": {
"parser": "bin/babel-parser.js"
@ -507,9 +507,9 @@
}
},
"node_modules/@babel/plugin-transform-typescript": {
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"resolved": "https://registry.npmjs.org/@babel/plugin-transform-typescript/-/plugin-transform-typescript-7.25.9.tgz",
"integrity": "sha512-7PbZQZP50tzv2KGGnhh82GSyMB01yKY9scIjf1a+GfZCtInOWqUH5+1EBU4t9fyR5Oykkkc9vFTs4OHrhHXljQ==",
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"license": "MIT",
"dependencies": {
"@babel/helper-annotate-as-pure": "^7.25.9",
@ -552,16 +552,16 @@
}
},
"node_modules/@babel/traverse": {
"version": "7.25.9",
"resolved": "https://registry.npmjs.org/@babel/traverse/-/traverse-7.25.9.tgz",
"integrity": "sha512-ZCuvfwOwlz/bawvAuvcj8rrithP2/N55Tzz342AkTvq4qaWbGfmCk/tKhNaV2cthijKrPAA8SRJV5WWe7IBMJw==",
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"license": "MIT",
"dependencies": {
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"@babel/generator": "^7.25.9",
"@babel/parser": "^7.25.9",
"@babel/code-frame": "^7.26.2",
"@babel/generator": "^7.26.3",
"@babel/parser": "^7.26.3",
"@babel/template": "^7.25.9",
"@babel/types": "^7.25.9",
"@babel/types": "^7.26.3",
"debug": "^4.3.1",
"globals": "^11.1.0"
},
@ -570,9 +570,9 @@
}
},
"node_modules/@babel/types": {
"version": "7.26.0",
"resolved": "https://registry.npmjs.org/@babel/types/-/types-7.26.0.tgz",
"integrity": "sha512-Z/yiTPj+lDVnF7lWeKCIJzaIkI0vYO87dMpZ4bg4TDrFe4XXLFWL1TbXU27gBP3QccxV9mZICCrnjnYlJjXHOA==",
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"resolved": "https://registry.npmjs.org/@babel/types/-/types-7.26.3.tgz",
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"license": "MIT",
"dependencies": {
"@babel/helper-string-parser": "^7.25.9",
@ -896,7 +896,6 @@
},
"node_modules/@clack/prompts/node_modules/is-unicode-supported": {
"version": "1.3.0",
"extraneous": true,
"inBundle": true,
"license": "MIT",
"engines": {
@ -1476,13 +1475,13 @@
}
},
"node_modules/@eslint/config-array": {
"version": "0.19.0",
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"dev": true,
"license": "Apache-2.0",
"dependencies": {
"@eslint/object-schema": "^2.1.4",
"@eslint/object-schema": "^2.1.5",
"debug": "^4.3.1",
"minimatch": "^3.1.2"
},
@ -1515,11 +1514,14 @@
}
},
"node_modules/@eslint/core": {
"version": "0.9.0",
"resolved": "https://registry.npmjs.org/@eslint/core/-/core-0.9.0.tgz",
"integrity": "sha512-7ATR9F0e4W85D/0w7cU0SNj7qkAexMG+bAHEZOjo9akvGuhHE2m7umzWzfnpa0XAg5Kxc1BWmtPMV67jJ+9VUg==",
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"dev": true,
"license": "Apache-2.0",
"dependencies": {
"@types/json-schema": "^7.0.15"
},
"engines": {
"node": "^18.18.0 || ^20.9.0 || >=21.1.0"
}
@ -1596,9 +1598,9 @@
}
},
"node_modules/@eslint/object-schema": {
"version": "2.1.4",
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"dev": true,
"license": "Apache-2.0",
"engines": {
@ -1606,9 +1608,9 @@
}
},
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"dev": true,
"license": "Apache-2.0",
"dependencies": {
@ -2008,6 +2010,19 @@
"install": "bin/index.js"
}
},
"node_modules/@million/install/node_modules/@babel/types": {
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"resolved": "https://registry.npmjs.org/@babel/types/-/types-7.26.0.tgz",
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"license": "MIT",
"dependencies": {
"@babel/helper-string-parser": "^7.25.9",
"@babel/helper-validator-identifier": "^7.25.9"
},
"engines": {
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}
},
"node_modules/@million/lint": {
"version": "1.0.13",
"resolved": "https://registry.npmjs.org/@million/lint/-/lint-1.0.13.tgz",
@ -2047,6 +2062,19 @@
"lint": "cli.js"
}
},
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"resolved": "https://registry.npmjs.org/@babel/types/-/types-7.26.0.tgz",
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"license": "MIT",
"dependencies": {
"@babel/helper-string-parser": "^7.25.9",
"@babel/helper-validator-identifier": "^7.25.9"
},
"engines": {
"node": ">=6.9.0"
}
},
"node_modules/@million/lint/node_modules/@esbuild/aix-ppc64": {
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@ -4937,9 +4965,9 @@
}
},
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"integrity": "sha512-oRj0AFePUhtatX+BscVhnzaAmWjpfAeySpM1TCbxA1rtBDeH/JDhi5yYzAKneDYtVtBvA7ApfeuzhMC9ye4xSg==",
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"dev": true,
"hasInstallScript": true,
"license": "Apache-2.0",
@ -4955,16 +4983,16 @@
"url": "https://opencollective.com/swc"
},
"optionalDependencies": {
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"@swc/core-darwin-x64": "1.9.3",
"@swc/core-linux-arm-gnueabihf": "1.9.3",
"@swc/core-linux-arm64-gnu": "1.9.3",
"@swc/core-linux-arm64-musl": "1.9.3",
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"@swc/core-linux-x64-musl": "1.9.3",
"@swc/core-win32-arm64-msvc": "1.9.3",
"@swc/core-win32-ia32-msvc": "1.9.3",
"@swc/core-win32-x64-msvc": "1.9.3"
"@swc/core-darwin-arm64": "1.10.0",
"@swc/core-darwin-x64": "1.10.0",
"@swc/core-linux-arm-gnueabihf": "1.10.0",
"@swc/core-linux-arm64-gnu": "1.10.0",
"@swc/core-linux-arm64-musl": "1.10.0",
"@swc/core-linux-x64-gnu": "1.10.0",
"@swc/core-linux-x64-musl": "1.10.0",
"@swc/core-win32-arm64-msvc": "1.10.0",
"@swc/core-win32-ia32-msvc": "1.10.0",
"@swc/core-win32-x64-msvc": "1.10.0"
},
"peerDependencies": {
"@swc/helpers": "*"
@ -4976,9 +5004,9 @@
}
},
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"cpu": [
"arm64"
],
@ -4993,9 +5021,9 @@
}
},
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"cpu": [
"x64"
],
@ -5010,9 +5038,9 @@
}
},
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"resolved": "https://registry.npmjs.org/@swc/core-linux-arm-gnueabihf/-/core-linux-arm-gnueabihf-1.9.3.tgz",
"integrity": "sha512-Pbwe7xYprj/nEnZrNBvZfjnTxlBIcfApAGdz2EROhjpPj+FBqBa3wOogqbsuGGBdCphf8S+KPprL1z+oDWkmSQ==",
"version": "1.10.0",
"resolved": "https://registry.npmjs.org/@swc/core-linux-arm-gnueabihf/-/core-linux-arm-gnueabihf-1.10.0.tgz",
"integrity": "sha512-oq+DdMu5uJOFPtRkeiITc4kxmd+QSmK+v+OBzlhdGkSgoH3yRWZP+H2ao0cBXo93ZgCr2LfjiER0CqSKhjGuNA==",
"cpu": [
"arm"
],
@ -5027,9 +5055,9 @@
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},
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@ -14620,13 +14685,10 @@
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View file

@ -0,0 +1,18 @@
const SvgNeedleIcon = (props) => (
<svg
xmlns="http://www.w3.org/2000/svg"
width="1em"
height="1em"
viewBox="0 0 32 32"
{...props}
>
<circle cx="16" cy="16" r="15" stroke="currentColor" strokeWidth="2" />
<path
fill="currentColor"
d="M6.06661 23.4341L19.2183 4.1263C19.5277 3.67209 20.3458 3.99976 20.3225 4.54884C20.1123 9.51475 23.0448 12.1637 28.0237 12.3643C28.5874 12.387 28.8315 13.2879 28.3252 13.5368L6.70039 24.1643C6.23948 24.3909 5.7775 23.8586 6.06661 23.4341Z"
/>
<circle cx="24.5" cy="8.5" r="1.5" fill="currentColor" />
</svg>
);
export default SvgNeedleIcon;

View file

@ -0,0 +1,9 @@
import React, { forwardRef } from "react";
import SvgNeedleIcon from "./NeedleIcon";
export const NeedleIcon = forwardRef<
SVGSVGElement,
React.PropsWithChildren<{}>
>((props, ref) => {
return <SvgNeedleIcon ref={ref} {...props} />;
});

View file

@ -0,0 +1,5 @@
<svg width="32" height="32" viewBox="0 0 32 32" fill="none" xmlns="http://www.w3.org/2000/svg">
<circle cx="16" cy="16" r="15" stroke="currentColor" stroke-width="2"/>
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<circle cx="24.5" cy="8.5" r="1.5" fill="currentColor"/>
</svg>

After

Width:  |  Height:  |  Size: 503 B

View file

@ -274,6 +274,7 @@ import { Mem0 } from "../icons/Mem0";
import { MetaIcon } from "../icons/Meta";
import { MidjourneyIcon } from "../icons/Midjorney";
import { MongoDBIcon } from "../icons/MongoDB";
import { NeedleIcon } from "../icons/Needle";
import { NotDiamondIcon } from "../icons/NotDiamond";
import { NotionIcon } from "../icons/Notion";
import { NvidiaIcon } from "../icons/Nvidia";
@ -510,6 +511,7 @@ export const SIDEBAR_BUNDLES = [
icon: "AstraDB",
},
{ display_name: "Notion", name: "Notion", icon: "Notion" },
{ display_name: "Needle", name: "needle", icon: "Needle" },
{ display_name: "NVIDIA", name: "nvidia", icon: "NVIDIA" },
{ display_name: "Vectara", name: "vectara", icon: "Vectara" },
{ display_name: "Icosa Computing", name: "icosacomputing", icon: "Icosa" },
@ -655,6 +657,7 @@ export const nodeIconsLucide: iconsType = {
notion: NotionIcon,
Notion: NotionIcon,
NotionDirectoryLoader: NotionIcon,
Needle: NeedleIcon,
NVIDIA: NvidiaIcon,
ChatOpenAI: OpenAiIcon,
AzureChatOpenAI: OpenAiIcon,

372
uv.lock generated
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