# LangChain Resources This section includes several resources and examples of using LangChain. ## 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) ## LangChain Framework - [LangChain](https://github.com/hwchase17/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. ## Highly Abstracted Tools - [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 - [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 - [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 - [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 🐍 - [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 - [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 - [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. - [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) - [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. - [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 - [SuperAgent](https://github.com/homanp/superagent): Deploy LLM Agents to production - [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. - [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 - [waggledance.ai](https://github.com/agi-merge/waggle-dance): An opinionated, concurrent system of AI Agents. It implements Plan-Validate-Solve with data and tools for general goal-solving. ### 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 - [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 - [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. ### Platforms - [Modal](https://modal.com/docs/guide/ex/potus_speech_qanda): End-to-end stack for cloud/ML compute - [Metal](https://getmetal.io/): Metal is a managed service that allows you to build AI products without the hassle of managing infrastructure - [Graphsignal](https://graphsignal.com/): Observability for AI agents and LLM-powered applications. Trace, monitor and debug LangChain in production. - [Mona](https://github.com/monalabs/mona-openai): Live monitoring for your OpenAI usage - [Openllmetry](https://github.com/traceloop/openllmetry): Open-source observability for your LLM application, based on OpenTelemetry ## Open Source Projects ### Knowledge Management - [Quiver](https://github.com/StanGirard/quiver): Dump your brain into your GenerativeAI Vault - [DocsGPT](https://github.com/arc53/docsgpt): GPT-powered chat for documentation search & assistance. - [Chaindesk](https://github.com/gmpetrov/databerry): The no-code platform for semantic search and documents retrieval - [Knowledge GPT](https://github.com/mmz-001/knowledge_gpt): Accurate answers and instant citations for your documents. - [Knowledge](https://github.com/KnowledgeCanvas/knowledge): Knowledge is a tool for saving, searching, accessing, and exploring all of your favorite websites, documents and files. - [Anything LLM](https://github.com/Mintplex-Labs/anything-llm): A full-stack application that turns any documents into an intelligent chatbot with a sleek UI and easier way to manage your workspaces. - [DocNavigator](https://github.com/vgulerianb/DocNavigator): AI-powered chatbot builder that is designed to improve the user experience on product documentation/support websites - [ChatFiles](https://github.com/guangzhengli/ChatFiles): Upload your document and then chat with it. Powered by GPT / Embedding / TS / NextJS. - [DataChad](https://github.com/gustavz/DataChad): A streamlit app that let's you chat with any data source. Supporting both OpenAI and local mode with GPT4All. - [Second Brain AI Agent](https://github.com/flepied/second-brain-agent): A streamlit app automaticall dialog with your second brain notes using OpenAI and ChromaDB locally. - [examor](https://github.com/codeacme17/examor): A website application that allows you to take exams based on your knowledge notes. Let you really remember what you have learned and written. ### Other / Chatbots - [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. - [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 - [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 - [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 - [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 - [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 - [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 - [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 - [Chat with Scanned Documents](https://github.com/tony-xlh/Chat-with-Scanned-Documents): A demo chatting with documents scanned with Dynamic Web TWAIN. - [snowChat ❄️](https://github.com/kaarthik108/snowChat): Chat with you're snowflake database - [Airtable-QnA](https://github.com/ikram-shah/airtable-qna): 🌟 a question-answering tool for your Airtable content - [WingmanAI](https://github.com/e-johnstonn/wingmanAI): tool for interacting with real-time transcription of both system and microphone audio - [TutorGPT](https://github.com/plastic-labs/tutor-gpt): Dynamic few-shot metaprompting for the task of tutoring. - [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. - [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 ⚡. - [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 ⚡. - [Twitter Agent](https://github.com/ahmedbesbes/twitter-agent/): Scrape tweets, summarize them and chat with them in an interactive terminal. - [GPT Migrate](https://github.com/0xpayne/gpt-migrate): Easily migrate your codebase from one framework or language to another. - [Code Interpreter API](https://github.com/shroominic/codeinterpreter-api): About Open source implementation of the ChatGPT Code Interpreter - [Recommender](https://github.com/vishwasg217/recommender): Create captivating email marketing campaigns tailored to your business needs - [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. ## Learn ### Notebooks - [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 - [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 - [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) - [Large Language Models Course](https://github.com/peremartra/Large-Language-Model-Notebooks-Course) ### Videos Playlists - [LangChain Series by Sam Witteveen](https://www.youtube.com/watch?v=J_0qvRt4LNk&list=PL8motc6AQftk1Bs42EW45kwYbyJ4jOdiZ) - [LangChain Tutorials Playlist](https://www.youtube.com/playlist?list=PL611FKPtL866MnlDPHvI3KwVGqCB-QJAx) - [LangChain James Briggs' Playlist](https://www.youtube.com/watch?v=nE2skSRWTTs&list=PLIUOU7oqGTLieV9uTIFMm6_4PXg-hlN6F) - [Greg Kamradt Playlist](https://www.youtube.com/watch?v=_v_fgW2SkkQ&list=PLqZXAkvF1bPNQER9mLmDbntNfSpzdDIU5)