RAG

Open-source RAG frameworks

Retrieval-augmented generation (RAG) makes a language model answer from your own documents. The text is split into chunks, turned into vectors and stored in an index, and the most relevant chunks are added to the prompt when a question comes in. The projects here cover the whole pipeline or one part of it: document parsing, vector search, or a complete question-answering app.

How to choose

Answer quality in RAG depends mostly on retrieval, not on the model. Compare how each project handles difficult documents such as PDFs, tables and scans, whether it supports hybrid search that combines keywords with vectors and re-ranking, and whether it shows which sources an answer came from.

Most-starred projects

121–144 of 642

potpie-ai

potpie

★ 5,736

Context Graph for AI Native SDLC. Potpie turns your codebase and software development lifecycle into a living context graph for AI agents.

Python

ageerle

ruoyi-ai

★ 5,730

An enterprise AI development framework for building AI agents. It provides unified management of multi-provider LLMs, secure enterprise knowledge bases with high-precision retrieval, visual workflow orchestration and multi-agent coordination. Compatible with mainstream Agent Skill standards, it enables developers to efficiently build production-gra

Java

OpenBMB

UltraRAG

★ 5,698

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

Python

the-open-agent

openagent

★ 5,628

⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org

ATH-MaaS

ComfyUI-Copilot

★ 5,532

An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance

TypeScript

volcengine

MineContext

★ 5,531

MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）

Python

KnockOutEZ

wigolo

★ 5,426

The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.

TypeScript

SenteLabsAI

OpenExecutive

★ 5,380

AI-powered virtual executive team — a single coherent executive persona backed by 8 specialist agents (FastAPI + Next.js).

Python

PacktPublishing

LLM-Engineers-Handbook

★ 5,348

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

Python

neo4j-labs

llm-graph-builder

★ 5,269

Neo4j graph construction from unstructured data using LLMs

Jupyter Notebook

vitali87

code-graph-rag

★ 5,178

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs.

Python

Marker-Inc-Korea

AutoRAG

★ 5,112

AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.

TypeScript

Kiln-AI

Kiln

★ 5,071

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

Python

FellouAI

eko

★ 4,962

Eko (Eko Keeps Operating) - Build Production-ready Agentic Workflow with Natural Language - eko.fellou.ai

TypeScript

SolaceLabs

solace-agent-mesh

★ 4,923

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

Python

changyeyu

LLM-RL-Visualized

★ 4,916

🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）

Python

didilili

ai-agents-from-zero

★ 4,906

🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化

Python

feyninc

chonkie

★ 4,777

🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines

Python

infiniflow

infinity

★ 4,727

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

C++

53AI

53AIHub

★ 4,657

53AI Hub is an open-source AI portal and knowledge base for managing enterprise knowledge, AI agents, prompts, and AI tools, seamlessly integrating with Coze, Dify, FastGPT, RAGFlow. 一个AI知识库与Agent门户