- langchain - ⚡ Building applications with LLMs through composability ⚡
- llama_index - LlamaIndex (formerly GPT Index) is a data framework for your LLM applications
- graphrag - A modular graph-based Retrieval-Augmented Generation (RAG) system
- embedchain - Embedchain is an Open Source RAG Framework that makes it easy to create and deploy AI apps. -
- FlagEmbedding - Dense Retrieval and Retrieval-augmented LLMs -
- fastRAG - Efficient Retrieval Augmentation and Generation Framework -
- llmware - Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models. -
- llm-applications - A comprehensive guide to building RAG-based LLM applications for production. -
- DB-GPT - Revolutionizing Database Interactions with Private LLM Technology -
- pandas-ai - Chat with your data (SQL, CSV, pandas, polars, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
- canopy - Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone -
- autollm - Ship RAG based LLM web apps in seconds. -
- quivr - Your GenAI Second Brain 🧠 A personal productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, that you can share with users ! - Ship RAG based LLM web apps in seconds. -
- fastGPT - FastGPT is a knowledge-based platform built on the LLM, offers out-of-the-box data processing and model invocation capabilities, allows for workflow orchestration through Flow visualization! -
- Langchain-Chatchat - Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 -
- LangChain-ChatGLM-Webui - 基于LangChain和ChatGLM-6B等系列LLM的针对本地知识库的自动问答 -
- anything-llm - Open-source multi-user ChatGPT for all LLMs, embedders, and vector databases. Unlimited documents, messages, and users in one privacy-focused app. -
- QAnything - Question and Answer based on Anything.
- danswer - Ask Questions in natural language and get Answers backed by private sources. Connects to tools like Slack, GitHub, Confluence, etc. -
- rags - Build ChatGPT over your data, all with natural language -
- khoj - A copilot to search and chat (using RAG) with your knowledge base (pdf, markdown, org). Use powerful, online (e.g gpt4) or private, offline (e.g mistral) LLMs. -
- Verba - Retrieval Augmented Generation (RAG) chatbot powered by Weaviate -
- llm-app - LLM App templates for RAG, knowledge mining, and stream analytics. Ready to run with Docker,⚡in sync with your data sources. -
- casibase - ⚡️Open-source AI LangChain-like RAG (Retrieval-Augmented Generation) knowledge database with web UI and Enterprise SSO⚡️ -
- trt-llm-rag-windows - A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM -
- GPT-RAG - GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. -
- rag-demystified - An LLM-powered advanced RAG pipeline built from scratch -
- cody - Cody is an AI code assistant that uses advanced search and codebase context to help you write and fix code. -
- adrenaline - Instant answers to any programming question -
- repo-chat - Use AI to ask questions about any GitHub repo. -
- LARS - An application for running LLMs locally on your device, with your documents, facilitating detailed citations in generated responses. -
- privateGPT - Interact with your documents using the power of GPT, 100% privately, no data leaks
- localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
- ChatFiles - Document Chatbot
- pdfGPT - PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!
- chatd - Chat with your documents using local AI -
- IncarnaMind - Connect and chat with your multiple documents (pdf and txt) through GPT 3.5, GPT-4 Turbo, Claude and Local Open-Source LLMs
- ArXivChatGuru - Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache. -
- vanna - 🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄. -
- txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows -
- infinity - The AI-native database built for LLM applications, providing incredibly fast vector and full-text search -
- postgresml - The GPU-powered AI application database. -
- lancedb - Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
- sparrow - Data extraction with ML and LLM -
- fastembed - Fast, Accurate, Lightweight Python library to make State of the Art Embedding -
- self-rag - SELF-RAG: Learning to Retrieve, Generate and Critique through Self-reflection -
- instructor - Your Gateway to Structured Outputs with OpenAI
- swirl-search - Swirl is open source software that simultaneously searches multiple content sources and returns AI ranked results. -
- kernel-memory - Index and query any data using LLM and natural language, tracking sources and showing citations. -
- RAGFoundry - Framework for specializing LLMs for retrieval-augmented-generation tasks using fine-tuning. -
- chatgpt-retrieval-plugin - The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
- RAGxplorer - Open-source tool to visualise your RAG 🔮 -
- swiftide - Fast, streaming indexing and query library for AI (RAG) applications, written in Rust -
- ragas - Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines -
- Awesome-LLM-RAG - This repo aims to record advanced papers of Retrieval Agumented Generation (RAG) in LLMs.
- Building RAG-based LLM Applications for Production
- A-Guide-to-Retrieval-Augmented-LLM
- 一文详谈20多种RAG优化方法
- rag-resources - A collection of curated RAG (Retrieval Augmented Generation) resources.
- RAG-Survey
- Awesome-LLM-RAG-Application - the resources about the application based on LLM with RAG pattern
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