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Updating LangChain and LangGraph Resources
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# Langchain Resources
This section includes several resources and examples of using LangChain.
# LangChain Resources
This section includes several resources and examples of using LangChain. I also teach a "RAG for Cybersecurity" course in O'Reilly where I have many additional step-by-step examples at: https://github.com/santosomar/RAG-for-cybersecurity
## Langchain Smith and Cookbook
- [Langchain Smith](https://smith.langchain.com/hub?organizationId=1efeb0d9-eab7-54d7-bfd6-22070d7756de): a unified developer platform for building, testing, and monitoring LLM applications.
- [Chat Langchain](https://chat.langchain.com/): Ask me anything about LangChain's Python documentation!
- [Langchain Cookbook](https://github.com/langchain-ai/langchain/tree/master/cookbook): The cookbook examples, etc.
## LangChain Smith and Cookbook
- [LangChain Smith](https://smith.LangChain.com/hub?organizationId=1efeb0d9-eab7-54d7-bfd6-22070d7756de): a unified developer platform for building, testing, and monitoring LLM applications.
- [Chat LangChain](https://chat.LangChain.com/): Ask me anything about LangChain's Python documentation!
- [LangChain Cookbook](https://github.com/LangChain-ai/LangChain/tree/master/cookbook): The cookbook examples, etc.
- [LangGraph Documentation](https://LangChain-ai.github.io/langgraph/)
## LangChain Framework
## LangChain Framework Repositories and Additional References
- [LangChain](https://github.com/hwchase17/langchain): the original 🐍 Python implementation
- [LangChain.js](https://github.com/hwchase17/langchainjs): the js brother
- [LangChain](https://github.com/LangChain-ai/LangChain): the original 🐍 Python implementation
- [LangChain.js](https://github.com/hwchase17/LangChainjs): the js brother
- [Youtube Channel](https://www.youtube.com/channel/UCC-lyoTfSrcJzA1ab3APAgw)
- [Discord](https://discord.gg/6adMQxSpJS): discussion
- [Langchain Blog](https://blog.langchain.dev/): The Official Langchain blog
- [LangChainHub](https://github.com/hwchase17/langchain-hub): collection of all artifacts useful for working with LangChain primitives such as prompts, chains and agents
- [LangServe](https://github.com/langchain-ai/langserve): LangServe helps developers deploy LangChain runnables and chains as a REST API.
- [LangChain Blog](https://blog.LangChain.dev/): The Official LangChain blog
- [LangChainHub](https://github.com/hwchase17/LangChain-hub): collection of all artifacts useful for working with LangChain primitives such as prompts, chains and agents
- [LangServe](https://github.com/LangChain-ai/langserve): LangServe helps developers deploy LangChain runnables and chains as a REST API.
## Highly Abstracted Tools
- [Flowise](https://github.com/FlowiseAI/Flowise): Drag & drop UI to build your customized LLM flow using LangchainJS
- [Flowise](https://github.com/FlowiseAI/Flowise): Drag & drop UI to build your customized LLM flow using LangChainJS
- [Langflow](https://github.com/logspace-ai/langflow): LangFlow is a UI for LangChain
### Services
@ -27,41 +28,41 @@ This section includes several resources and examples of using LangChain.
- [GPTCache](https://github.com/zilliztech/GPTCache): A Library for Creating Semantic Cache for LLM Queries
- [Gorilla](https://github.com/ShishirPatil/gorilla): An API store for LLMs
- [LlamaHub](https://github.com/emptycrown/llama-hub): a library of data loaders for LLMs made by the community
- [EVAL](https://github.com/corca-ai/EVAL): Elastic Versatile Agent with Langchain. will execute all your requests.
- [Auto-evaluator](https://github.com/PineappleExpress808/auto-evaluator): a lightweight evaluation tool for question-answering using Langchain
- [Langchain visualizer](https://github.com/amosjyng/langchain-visualizer): visualization and debugging tool for LangChain workflows
- [EVAL](https://github.com/corca-ai/EVAL): Elastic Versatile Agent with LangChain. will execute all your requests.
- [Auto-evaluator](https://github.com/PineappleExpress808/auto-evaluator): a lightweight evaluation tool for question-answering using LangChain
- [LangChain visualizer](https://github.com/amosjyng/LangChain-visualizer): visualization and debugging tool for LangChain workflows
- [LLM Strategy](https://github.com/BlackHC/llm-strategy): implementing the Strategy Pattern using LLMs
- [datasetGPT](https://github.com/radi-cho/datasetGPT): A command-line interface to generate textual and conversational datasets with LLMs.
- [spellbook-forge](https://github.com/rafalzawadzki/spellbook-forge): Make your LLM prompts executable and version controlled.
- [Auto Evaluator](https://github.com/langchain-ai/auto-evaluator): Langchain auto evaluator
- [Jina](https://github.com/jina-ai/langchain-serve): Langchain Apps on Production with Jina
- [Auto Evaluator](https://github.com/LangChain-ai/auto-evaluator): LangChain auto evaluator
- [Jina](https://github.com/jina-ai/LangChain-serve): LangChain Apps on Production with Jina
- [Gradio Tools](https://github.com/freddyaboulton/gradio-tools): Gradio 🤝 LLM Agents
- [steamship-langchain](https://github.com/steamship-core/steamship-langchain): adapters for Steamship, enabling LangChain developers to rapidly deploy their apps on Steamship 🐍
- [steamship-LangChain](https://github.com/steamship-core/steamship-LangChain): adapters for Steamship, enabling LangChain developers to rapidly deploy their apps on Steamship 🐍
- [LangForge](https://github.com/mme/langforge): A Toolkit for Creating and Deploying LangChain Apps
- [BentoChain](https://github.com/ssheng/BentoChain): LangChain Deployment on BentoML
- [LangCorn](https://github.com/msoedov/langcorn): Serving LangChain apps automagically with FastApi
- [Langchain Service](https://github.com/kyrolabs/langchain-service): Opinionated Langchain setup with Qdrant vector store and Kong gateway
- [LangChain Service](https://github.com/kyrolabs/LangChain-service): Opinionated LangChain setup with Qdrant vector store and Kong gateway
- [Lanarky](https://github.com/ajndkr/lanarky): 🚢 Ship production-ready LLM projects with FastAPI
- [Dify](https://github.com/langgenius/dify): One API for plugins and datasets, one interface for prompt engineering and visual operation, all for creating powerful AI applications.
- [LangchainJS Worker](https://github.com/rickyrobinett/langchainjs-workers): LangchainJS worker on cloudflare
- [LangChainJS Worker](https://github.com/rickyrobinett/LangChainjs-workers): LangChainJS worker on cloudflare
- [Chainlit](https://github.com/Chainlit/chainlit): Build Python LLM apps in minutes ⚡️
- [Psychic](https://github.com/psychic-api/psychic): Universal APIs for unstructured data. Sync documents from SaaS tools to a SQL or vector database, where they can be easily queried by AI applications like ChatGPT.
- [Zep](https://github.com/getzep/zep): Zep: A long-term memory store for LLM / Chatbot applications
- [Langchain Decorators](https://github.com/ju-bezdek/langchain-decorators): a layer on the top op LangChain that provides syntactic sugar 🍭 for writing custom langchain prompts and chains
- [FastAPI + Chroma](https://github.com/experienced-dev/chatgpt-plugin-fastapi-langchain-chroma): An Example Plugin for ChatGPT, Utilizing FastAPI, LangChain and Chroma
- [AilingBot](https://github.com/ericzhang-cn/ailingbot): Quickly integrate applications built on Langchain into IM such as Slack, WeChat Work, Feishu, DingTalk.
- [LangChain Decorators](https://github.com/ju-bezdek/LangChain-decorators): a layer on the top op LangChain that provides syntactic sugar 🍭 for writing custom LangChain prompts and chains
- [FastAPI + Chroma](https://github.com/experienced-dev/chatgpt-plugin-fastapi-LangChain-chroma): An Example Plugin for ChatGPT, Utilizing FastAPI, LangChain and Chroma
- [AilingBot](https://github.com/ericzhang-cn/ailingbot): Quickly integrate applications built on LangChain into IM such as Slack, WeChat Work, Feishu, DingTalk.
- [Llama2 Embedding Server](https://github.com/Dicklesworthstone/llama_embeddings_fastapi_service): Llama2 Embeddings FastAPI Service using LangChain
### Agents
- [Private GPT](https://github.com/imartinez/privateGPT): Interact privately with your documents using the power of GPT, 100% privately, no data leaks
- [CollosalAI Chat](https://github.com/hpcaitech/ColossalAI/tree/main/applications/Chat): implement LLM with RLHF, powered by the Colossal-AI project
- [AgentGPT](https://github.com/reworkd/AgentGPT): AI Agents with Langchain & OpenAI (Vercel / Nextjs)
- [AgentGPT](https://github.com/reworkd/AgentGPT): AI Agents with LangChain & OpenAI (Vercel / Nextjs)
- [Local GPT](https://github.com/PromtEngineer/localGPT): Inspired on Private GPT with the GPT4ALL model replaced with the Vicuna-7B model and using the InstructorEmbeddings instead of LlamaEmbeddings
- [GPT Researcher](https://github.com/assafelovic/gpt-researcher): GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks.
- [ThinkGPT](https://github.com/alaeddine-13/thinkgpt): Agent techniques to augment your LLM and push it beyond its limits
- [Camel-AutoGPT](https://github.com/SamurAIGPT/Camel-AutoGPT): role-playing approach for LLMs and auto-agents like BabyAGI & AutoGPT
- [RasaGPT](https://github.com/paulpierre/RasaGPT): RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain.
- [RasaGPT](https://github.com/paulpierre/RasaGPT): RasaGPT is the first headless LLM chatbot platform built on top of Rasa and LangChain.
- [SkyAGI](https://github.com/litanlitudan/skyagi): Emerging human-behavior simulation capability in LLM agents
- [PyCodeAGI](https://github.com/chakkaradeep/pyCodeAGI): A small AGI experiment to generate a Python app given what app the user wants to build
- [BabyAGI UI](https://github.com/miurla/babyagi-ui): Make it easier to run and develop with babyagi in a web app, like a ChatGPT
@ -69,8 +70,8 @@ This section includes several resources and examples of using LangChain.
- [Voyager](https://github.com/MineDojo/Voyager): An Open-Ended Embodied Agent with Large Language Models
- [ix](https://github.com/kreneskyp/ix): Autonomous GPT-4 agent platform
- [DuetGPT](https://github.com/kristoferlund/duet-gpt): A conversational semi-autonomous developer assistant, AI pair programming without the copypasta.
- [Multi-Modal LangChain agents in Production](https://github.com/steamship-packages/langchain-agent-production-starter): Deploy LangChain Agents and connect them to Telegram
- [DemoGPT](https://github.com/melih-unsal/DemoGPT): DemoGPT enables you to create quick demos by just using prompt. It applies ToT approach on Langchain documentation tree.
- [Multi-Modal LangChain agents in Production](https://github.com/steamship-packages/LangChain-agent-production-starter): Deploy LangChain Agents and connect them to Telegram
- [DemoGPT](https://github.com/melih-unsal/DemoGPT): DemoGPT enables you to create quick demos by just using prompt. It applies ToT approach on LangChain documentation tree.
- [SuperAGI](https://github.com/TransformerOptimus/SuperAGI): SuperAGI - A dev-first open source autonomous AI agent framework
- [Autonomous HR Chatbot](https://github.com/stepanogil/autonomous-hr-chatbot): An autonomous agent that can answer HR related queries autonomously using the tools it has on hand
- [BlockAGI](https://github.com/blockpipe/blockagi): BlockAGI conducts iterative, domain-specific research, and outputs detailed narrative reports to showcase its findings
@ -79,11 +80,11 @@ This section includes several resources and examples of using LangChain.
### Templates
- [AI](https://github.com/vercel-labs/ai): Vercel template to build AI-powered applications with React, Svelte, and Vue, fist class support for LangChain
- [create-t3-turbo-ai](https://github.com/zckly/create-t3-turbo-ai): t3 based, Langchain-friendly boilerplate for building type-safe, full-stack, LLM-powered web apps with Nextjs and Prisma
- [create-t3-turbo-ai](https://github.com/zckly/create-t3-turbo-ai): t3 based, LangChain-friendly boilerplate for building type-safe, full-stack, LLM-powered web apps with Nextjs and Prisma
- [LangChain.js LLM Template](https://github.com/Conner1115/LangChain.js-LLM-Template): LangChain LLM template that allows you to train your own custom AI LLM model.
- [Streamlit Template](https://github.com/hwchase17/langchain-streamlit-template): template for how to deploy a LangChain on Streamlit
- [Codespaces Template](https://github.com/lostintangent/codespaces-langchain): a Codespaces template for getting up-and-running with LangChain in seconds!
- [Gradio Template](https://github.com/hwchase17/langchain-gradio-template): template for how to deploy a LangChain on Gradio
- [Streamlit Template](https://github.com/hwchase17/LangChain-streamlit-template): template for how to deploy a LangChain on Streamlit
- [Codespaces Template](https://github.com/lostintangent/codespaces-LangChain): a Codespaces template for getting up-and-running with LangChain in seconds!
- [Gradio Template](https://github.com/hwchase17/LangChain-gradio-template): template for how to deploy a LangChain on Gradio
- [AI Getting Started](https://github.com/a16z-infra/ai-getting-started): A Javascript AI getting started stack for weekend projects, including image/text models, vector stores, auth, and deployment configs
- [Embedchain](https://github.com/embedchain/embedchain): Framework to easily create LLM powered bots over any dataset.
@ -116,27 +117,27 @@ This section includes several resources and examples of using LangChain.
- [DB GPT](https://github.com/csunny/DB-GPT): Interact your data and environment using the local GPT, no data leaks, 100% privately, 100% security
- [AudioGPT](https://github.com/AIGC-Audio/AudioGPT): Understanding and Generating Speech, Music, Sound, and Talking Head
- [Paper QA](https://github.com/whitead/paper-qa): LLM Chain for answering questions from documents with citations
- [Chat Langchain](https://github.com/hwchase17/chat-langchain): locally hosted chatbot specifically focused on question answering over the LangChain documentation
- [Langchain Chat](https://github.com/zahidkhawaja/langchain-chat-nextjs): another Next.js frontend for LangChain Chat.
- [Chat LangChain](https://github.com/hwchase17/chat-LangChain): locally hosted chatbot specifically focused on question answering over the LangChain documentation
- [LangChain Chat](https://github.com/zahidkhawaja/LangChain-chat-nextjs): another Next.js frontend for LangChain Chat.
- [Book GPT](https://github.com/fraserxu/book-gpt): drop a book, start asking question.
- [Chat LangchainJS](https://github.com/sullivan-sean/chat-langchainjs): NextJS version of Chat Langchain
- [Chat LangChainJS](https://github.com/sullivan-sean/chat-LangChainjs): NextJS version of Chat LangChain
- [Doc Search](https://github.com/namuan/dr-doc-search): converse with book - Built with GPT-3
- [Fact Checker](https://github.com/jagilley/fact-checker): fact-checking LLM outputs with langchain
- [Fact Checker](https://github.com/jagilley/fact-checker): fact-checking LLM outputs with LangChain
- [MM ReAct](https://github.com/microsoft/MM-REACT): Multi Modal ReAct Design
- [QABot](https://github.com/hardbyte/qabot): Query local or remote files or databases with natural language queries powered by langchain and openai
- [QABot](https://github.com/hardbyte/qabot): Query local or remote files or databases with natural language queries powered by LangChain and openai
- [GPT Automator](https://github.com/chidiwilliams/GPT-Automator): Your voice-controlled Mac assistant.
- [Teams LangchainJS](https://github.com/SidU/teams-langchain-js): Demonstration of LangChainJS with Teams / Bot Framework bots
- [ChatGPT](https://github.com/biff-ai/chatgpt-langchainjs-example): ChatGPT & langchain example for node.js & Docker
- [Teams LangChainJS](https://github.com/SidU/teams-LangChain-js): Demonstration of LangChainJS with Teams / Bot Framework bots
- [ChatGPT](https://github.com/biff-ai/chatgpt-LangChainjs-example): ChatGPT & LangChain example for node.js & Docker
- [FlowGPT](https://github.com/nilooy/flowgpt): Generate diagram with AI
- [langchain-text-summarizer](https://github.com/alphasecio/langchain-text-summarizer): A sample streamlit application summarizing text using LangChain
- [Langchain Chat Websocket](https://github.com/pors/langchain-chat-websockets): About LangChain LLM chat with streaming response over websockets
- [langchain_yt_tools](https://github.com/venuv/langchain_yt_tools): Langchain tools to search/extract/transcribe text transcripts of Youtube videos
- [LangChain-text-summarizer](https://github.com/alphasecio/LangChain-text-summarizer): A sample streamlit application summarizing text using LangChain
- [LangChain Chat Websocket](https://github.com/pors/LangChain-chat-websockets): About LangChain LLM chat with streaming response over websockets
- [LangChain_yt_tools](https://github.com/venuv/LangChain_yt_tools): LangChain tools to search/extract/transcribe text transcripts of Youtube videos
- [SmartPilot](https://github.com/jaredkirby/SmartPilot): A Python program leveraging OpenAI's language models to generate, analyze, and select the best answer to a given question
- [Howdol](https://github.com/bborn/howdoi.ai): a helpful chatbot that can answer questions
- [MrsStax](https://github.com/normandmickey/MrsStax): QA Slack Bot
- [ThoughtSource⚡](https://github.com/OpenBioLink/ThoughtSource): A framework for the science of machine thinking
- [ChatGPT Langchain](https://huggingface.co/spaces/JavaFXpert/Chat-GPT-LangChain): ChatGPT clone using langchain on Huggingface
- [Chat Math Techniques](https://huggingface.co/spaces/JavaFXpert/gpt-math-techniques): langchain chat with math techniques on Huggingface
- [ChatGPT LangChain](https://huggingface.co/spaces/JavaFXpert/Chat-GPT-LangChain): ChatGPT clone using LangChain on Huggingface
- [Chat Math Techniques](https://huggingface.co/spaces/JavaFXpert/gpt-math-techniques): LangChain chat with math techniques on Huggingface
- [Notion QA](https://github.com/hwchase17/notion-qa): Notion Question-Answering Bot
- [QNimGPT](https://huggingface.co/spaces/rituthombre/QNim): Play Nim against an IBM Quantum Computer simulator or OpenAI GPT-3.5
- [ChatPDF](https://github.com/akshata29/chatpdf): ChatGPT + Enterprise data with Azure OpenAI
@ -148,9 +149,9 @@ This section includes several resources and examples of using LangChain.
- [Cheshire Cat](https://github.com/cheshire-cat-ai/core): Custom AGI boT with ready-to-use chat integration and plugins development platform.
- [Got Chaat Bot](https://github.com/parker84/GoT-chat-bot): Repo for creating GoT Chatbots (ex: talk with Tyrion Lannister)
- [Dialoqbase](https://github.com/n4ze3m/dialoqbase): web application that allows you to create custom chatbots with your own knowledge base
- [CSV-AI 🧠](https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/snowflake.html): CSV-AI is the ultimate app powered by LangChain that allows you to unlock hidden insights in your CSV files.
- [CSV-AI 🧠](https://python.LangChain.com/en/latest/modules/indexes/document_loaders/examples/snowflake.html): CSV-AI is the ultimate app powered by LangChain that allows you to unlock hidden insights in your CSV files.
- [MindGeniusAI](https://github.com/xianjianlf2/MindGeniusAI): Auto generate MindMap with ChatGPT
- [Robby-Chatbot](https://github.com/yvann-hub/Robby-chatbot): AI chatbot 🤖 for chat with CSV, PDF, TXT files 📄 and YTB videos 🎥 | using Langchain🦜 | OpenAI | Streamlit ⚡.
- [Robby-Chatbot](https://github.com/yvann-hub/Robby-chatbot): AI chatbot 🤖 for chat with CSV, PDF, TXT files 📄 and YTB videos 🎥 | using LangChain🦜 | OpenAI | Streamlit ⚡.
- [AI Chatbot](https://github.com/vercel-labs/ai-chatbot): A full-featured, hackable Next.js AI chatbot built by Vercel Labs
- [Instrukt](https://github.com/blob42/Instrukt): A fully-fledged AI environment in the terminal. Build, test and instruct agents.
- [OpenChat](https://github.com/openchatai/OpenChat/): LLMs custom-chatbots console ⚡.
@ -161,24 +162,24 @@ This section includes several resources and examples of using LangChain.
- [Autonomous HR Chatbot](https://github.com/stepanogil/autonomous-hr-chatbot) An autonomous HR agent that can answer user queries using tools
- [Lobe Chat](https://github.com/lobehub/lobe-chat) An open-source, extensible (Function Calling), high-performance chatbot framework
- [Funcchain](https://github.com/shroominic/funcchain): write prompts, pythonic
- [PersonalityChatbot](https://github.com/btrcm00/chatbot-with-langchain): Langchain chatbot for chat with personality using Langchain🦜 | LangSmith | MongoDB.
- [PersonalityChatbot](https://github.com/btrcm00/chatbot-with-LangChain): LangChain chatbot for chat with personality using LangChain🦜 | LangSmith | MongoDB.
## Learn
### Notebooks
- [Langchain Tutorials](https://github.com/gkamradt/langchain-tutorials): overview and tutorial of the LangChain Library
- [LangChain Tutorials](https://github.com/gkamradt/LangChain-tutorials): overview and tutorial of the LangChain Library
- [LangChain Chinese Getting Started Guide](https://github.com/liaokongVFX/LangChain-Chinese-Getting-Started-Guide): Chinese LangChain Tutorial for Beginners
- [Flan5 LLM](https://colab.research.google.com/drive/1AVh9dOsG9DKzfK7gOFrJuitPIcLPqlbO?usp=sharing): PDF QA using LangChain for chain of thought and multi-task instructions, Flan5 on HuggingFace
- [LangChain Handbook](https://github.com/pinecone-io/examples/tree/master/generation/langchain/handbook): Pinecone / James Briggs' LangChain handbook
- [LangChain Handbook](https://github.com/pinecone-io/examples/tree/master/generation/LangChain/handbook): Pinecone / James Briggs' LangChain handbook
- [Query the YouTube video transcripts](https://colab.research.google.com/drive/1sKSTjt9cPstl_WMZ86JsgEqFG-aSAwkn?usp=sharing): Query the YouTube video transcripts, returning timestamps as sources to legitimize the answers
- [llm-lobbyist](https://github.com/JohnNay/llm-lobbyist): Large Language Models as Corporate Lobbyists
- [Langchain Semantic Search](https://github.com/venuv/langchain_semantic_search): Search and indexing your own Google Drive Files using GPT3, LangChain, and Python
- [LangChain Semantic Search](https://github.com/venuv/LangChain_semantic_search): Search and indexing your own Google Drive Files using GPT3, LangChain, and Python
- [GPT Political Compass](https://colab.research.google.com/drive/1xt2IsFPGYMEQdoJFNgWNAjWGxa60VXdV)
- [llm-grovers-search-party](https://github.com/JavaFXpert/llm-grovers-search-party): Leveraging Qiskit, OpenAI and LangChain to demonstrate Grover's algorithm
- [TextWorld ReAct Agent](https://colab.research.google.com/drive/19WTIWC3prw5LDMHmRMvqNV2loD9FHls6?usp=sharing)
- [LangChain <> Wolfram Alpha](https://colab.research.google.com/drive/1AAyEdTz-Z6ShKvewbt1ZHUICqak0MiwR?usp=sharing)
- [BYO Knowledge Graph](https://github.com/prof-frink-lab/slangchain/blob/main/docs/modules/knowledge_graph/examples/byo_knowledge_graph.ipynb)
- [BYO Knowledge Graph](https://github.com/prof-frink-lab/sLangChain/blob/main/docs/modules/knowledge_graph/examples/byo_knowledge_graph.ipynb)
- [Large Language Models Course](https://github.com/peremartra/Large-Language-Model-Notebooks-Course)
### Videos Playlists