AI channel
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

529–552 of 642
★ 478

Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.

Python
★ 477

Structural code intelligence for AI agents — semantic search, knowledge graphs, and a built-in MCP server in one Rust binary. Give Claude, Cursor, and any MCP client a deep understanding of your codebase.

Rust
KimGLee

Cambium

★ 475

Governance standard and reference toolset for LLM-maintained knowledge corpora

Python
★ 474

A multithreaded 🕸️ web crawler that recursively crawls a website and creates a 🔽 markdown file for each page, designed for LLM RAG

Python
AmeNetwork

aser

★ 471

Aser is a lightweight, self-assembling AI Agent frame.

Python
statelyai

agent

★ 468

Create state-machine-powered LLM agents using XState

TypeScript
iamzulx

crypto-rag

★ 467

Asisten crypto berbahasa Indonesia: RAG pengetahuan 267 topik + data pasar realtime (6 bursa, WebSocket, derivatif, on-chain, TVL, DeFi) + tool-calling agent + LLM synthesis

Python
★ 466

The project integrates the RAG and FAQ dual mechanisms, introduces intent recognition, dynamic adaptive retrieval, and the RAGAS automated evaluation system, achieving a transformation from empirical optimization to data-driven optimization.

Python
neuml

rag

★ 465

🚀 Retrieval Augmented Generation (RAG) with txtai. Combine search and LLMs to find insights with your own data.

Python
★ 464

专业的 LaTeX 简历模板，专为大模型与 Agent 算法工程师设计 | Professional LaTeX resume template for LLM & Agent algorithm engineers

TeX
TencentARC

ColorFlow

★ 463

The official implementation of paper "ColorFlow: Retrieval-Augmented Image Sequence Colorization". ColorFlow：基于检索增强的图像序列上色

Python
ratel-ai

ratel

★ 462

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

TypeScript
viveknaskar

everything-ai-ml

★ 461

A curated collection of learning resources for Generative AI, Machine Learning, Agentic AI, LLMs, RAG, Fine-tuning, MLOps, and more.

TypeScript
opensolon

solon-ai

★ 459

Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java26. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.

Java
★ 459

基于LangChain、FastAPI和React的RAG项目，主分支为基于知识图谱的知识管理平台，base-rag分支为开箱即用的基础RAG项目供学习使用

Python
★ 459

Paper-Agent 是一个面向科研人员和学生的智能论文检索与调研工具。项目基于多智能体协作架构（LangGraph），通过自然语言处理（NLP）、自动化搜索，帮助用户高效查找学术论文、分析文献内容，并进行论文调研。Paper-Agent 支持多平台集成、关键词搜索、自动分析、论文调研，提升了学术研究的效率。适用于论文写作、学术调研、科研项目管理等多种场景，是学术调研的理想助手。

Python
run-llama

llama-agents

★ 453

Llama Agents + Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.

Python
pinecone-io

python-sdk

★ 452

Official Python SDK for the Pinecone vector database

Python
★ 451

Production-grade RAG chatbot for Universitas Atma Jaya Yogyakarta academic handbook with Streamlit, FAISS vector search, and Google Gemini 2.5 Flash.

Python
LightningRAG

LightningRAG

★ 450

LightningRAG is a full-stack Vue + Gin starter with a decoupled frontend and backend, plus built-in, extensible RAG (retrieval-augmented generation): knowledge bases, vector search, and integrations with many LLM and vector-store providers

Go
Beever-AI

beever-atlas

★ 448

Your First LLM-Wiki Conversation Knowledge Base

Python
★ 446

MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.

Python
umbertogriffo

rag-chatbot

★ 445

RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.

Python
★ 439

FoJin-powered Buddhist AI persona framework — source-grounded, boundary-aware, fidelity-tested, runtime-ready.

Python