A modular graph-based Retrieval-Augmented Generation (RAG) system

🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

An open-source RAG-based tool for chatting with your documents.

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

Large Action Model framework to develop AI Web Agents

Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.

The easiest way to use Agentic RAG in any enterprise

Containerized, state of the art Retrieval-Augmented Generation (RAG) with a RESTful API

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

Streamer-Sales 销冠 —— 卖货主播 LLM 大模型🛒🎁，一个能够根据给定的商品特点从激发用户购买意愿角度出发进行商品解说的卖货主播大模型。🚀⭐内含详细的数据生成流程❗ 📦另外还集成了 LMDeploy 加速推理🚀、RAG检索增强生成 📚、TTS文字转语音🔊、数字人生成 🦸、 Agent 使用网络查询实时信息🌐、ASR 语音转文字🎙️、Vue 生态搭建前端🍍、FastAPI 搭建后端🗝️、Docker-compose 打包部署🐋

🧑‍🚀 全世界最好的LLM资料总结 | Summary of the world's best LLM resources.

🚀 An open-source SQL AI (Text-to-SQL) Agent that empowers data, product teams to chat with their data. 🤘

AdalFlow: The library to build & auto-optimize LLM applications.

A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL

Text-To-Speech, RAG, and LLMs. All local!

The Open Source Memory Layer For Autonomous Agents

TEN Agent is the world’s first real-time multimodal agent integrated with the OpenAI Realtime API, RTC, and features weather checks, web search, vision, and RAG capabilities.

A simple, easy-to-hack GraphRAG implementation

A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data

Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript, Rust and C.

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

Laminar - open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels. YC S24.

Chat with any codebase in under two minutes | Fully local or via third-party APIs

Easiest and laziest way for building multi-agent LLMs applications.

RAG Search API

The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy

A @ClickHouse fork that supports high-performance vector search and full-text search.

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure

🤖 Free Search with AI, 💡 Open-Source Perplexity, 📍 Support Ollama/SearXNG, Support Docker deployment. 让AI大模型和搜索引擎回答你的问题，支持本地大模型(Ollama)、聚合搜索引擎SearXNG，支持Docker一键部署。

Train Models Contrastively in Pytorch

Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

An open-source AI content search engine designed specifically for content creators. Supports extraction of text, images, and short videos. Allows full local deployment (web app, RAG server, LLM server). Supports multi-modal RAG content Q&A.

An application for running LLMs locally on your device, with your documents, facilitating detailed citations in generated responses.

Fullstack "Chat with your PDFs" RAG (Retrieval Augmented Generation) app built fully on Cloudflare

AI Powered Search and Chat for Orgs - Think ChatGPT meets Google Search but powered by your data.

GenAI Cookbook

The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.

Chat with multiple PDFs locally

Parsing-free RAG supported by VLMs

An Innovative Agent Framework Driven by KG Engine

RAG-GPT, leveraging LLM and RAG technology, learns from user-customized knowledge bases to provide contextually relevant answers for a wide range of queries, ensuring rapid and accurate information retrieval.

The simplest and most cost-effective AI integration solution, enabling any device to achieve intelligent conversation functionality (based on ESP development boards). If you like this project, please give it a Star! | 最简单、最低成本的AI接入方案，让任何物品都能实现智能对话功能(基于ESP开发板)。喜欢本项目的话点个 Star 吧，您的一个 Star 对目前的仓库发展非常重要

A list of top AI agents

Tech Stack for Building, Evaluating, and Deploying your LLM Application

ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector

Most intuitive unified AI chat interface.

Automate the tedious development tasks with AI

Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.

An enterprise-grade AI retriever designed to streamline AI integration into your applications, ensuring cutting-edge accuracy.

Build, evaluate and observe LLM apps

Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, LLMs, RAGs, LangChain, LangGraph, Fine-tuning Llama 3 & AI Agents (CrewAI)

A fuzzy key value store based on semantic similarity rather lexical equality.

Fast, streaming indexing and query library for AI (RAG) applications, written in Rust

Dynamiq is an orchestration framework for agentic AI and LLM applications

A package for parsing PDFs and analyzing their content using LLMs.

Create-tsi is a generative AI RAG toolkit which generates AI Applications with low code.

《prompt-collection-quickstart》是一份简洁高效的指南，帮助用户快速上手创建和管理提示工程库。通过清晰的步骤解析，从基本概念到高级技巧，该指南适合新手和经验丰富的开发者，提供丰富的示例与实用建议，让用户轻松掌握提示生成与优化的方法，为应用开发增添智能对话能力。

MindSQL: A Python Text-to-SQL RAG Library simplifying database interactions. Seamlessly integrates with PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery. Powered by GPT-4 and Llama 2, it enables natural language queries. Supports ChromaDB and Faiss for context-aware responses.

Neo4j GraphRAG for Python

https://TiDB.AI is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage and LlamaIndex. Open source and free to use.

A python wrapper for the Doc2X API and comes with native texts processing (to improve PDF recall in RAG). | Doc2X API的python封装，同时附带本地的文本处理(提升PDF在RAG中的召回率)。

Optimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector DB, and RAG.

Visualization for a Retrieval-Augmented Generation (RAG) Assistant 🤖❤️📚

Connect Data Silos with Reliable AI⚡🚀

Knowledge graph construction and RAG demo using Diffbot and Neo4j

开箱即用的基于企业私有知识库的LLM大语言模型的智能客服机器人问答系统，支持私有化部署，代码免费开源且可商用，由芝麻小客服官方推出。

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs (ACL 2024)

Open source alternative to Perplexity AI with ability to run locally

End-to-End Local-First Text-to-SQL Pipelines

This project enhances the construction of RAG applications by addressing challenges, improving accessibility, scalability, and managing data and user access. It uses Django, Llamaindex, and Google Drive for effective database management.

A collection of RAG systems powered by LLM.

Evaluation tools for Retrieval-augmented Generation (RAG) methods.

An Educational Project (step by step) to teach how to build a production-ready app for RAG application.

A solution guidance for Generative BI using Amazon Bedrock, Amazon OpenSearch with RAG

Documentation of AnythingLLM by Mintplex Labs Inc.

A web-based tool for visualizing and exploring artifacts from Microsoft's GraphRAG.

A curated list of retrieval-augmented generation (RAG) in large language models

Benchmarking library for RAG

Belullama is a comprehensive AI application that bundles Ollama, Open WebUI, and Automatic1111 (Stable Diffusion WebUI) into a single, easy-to-use package.

Facilitate the creation of graph-based Retrieval-Augmented Generation (RAG), seamless integration with OpenAI to enable advanced data querying and knowledge graph construction.

Contextualized Structured Outputs. Search your documents or the web for specific data and get it back in JSON or Markdown.

A versatile multi-modal chat application that enables users to develop custom agents, create images, leverage visual recognition, and engage in voice interactions. It integrates seamlessly with local LLMs and commercial models like OpenAI, Gemini, Perplexity, and Claude, and allows to converse with uploaded documents and websites.

An AI of Dan Abramov using RAG and GenAI.

[USENIX Security 2025] PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

The library for character-driven AI experiences.

Streamlit demo of Scrapegraph-ai for GPT4-hackaton

A curated list of open source repositories for AI Engineers

Flock is a low-code platform for rapidly building chatbots, RAG applications, and coordinating multi-agent teams, primarily using LangChain, LangGraph, NextJS, and FastAPI.（Flock 是一个低代码平台，旨在快速构建聊天机器人、RAG 、Muti-Agent应用程序，主要使用 LangChain、LangGraph、NextJS 和 FastAPI。）

RAG using Llama3, Langchain and ChromaDB

Local llamaindex RAG to assist researchers quickly navigate research papers

一种利用Langchain框架和本地向量库实现的对话式BI，它的目标是帮助用户寻找、理解数据知识，并能够分析数据、洞察结果，通过自然语言对话，降低数据分析的门槛。

《动手学SpringAI》包含SSE流/Agent智能体/知识图谱RAG/FunctionCall/历史消息/图片生成/图片理解/Embedding/VectorDatabase/RAG

GenAI & LLM usecases and applications

GPT automatically organizes your browser bookmarks

ScrapeGPT is a RAG-based Telegram bot designed to scrape and analyze websites, then answer questions based on the scraped content. The bot utilizes Retrieval Augmented Generation and webscraping to return natural language answers to the user's queries.

RAG(Retrieval-Augmented Generation) for Evolving Data

AI 应用示例合集