Open-source repositories gaining traction right now.
37 repositories
#rag
Star open-webui / open-webui User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

100+ AI Agent & RAG apps you can actually run — clone, customize, ship.

A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future sessions.

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Sponsor Star Mintplex-Labs / anything-llm The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.

Build AI Agents, Visually

《深入理解 AI Agent:设计原理与工程实践》(李博杰 著)开源主仓库:全书正文、编译版 PDF 与按章配套代码

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

Open Source AI Platform - AI Chat with advanced features that works with every LLM

Perplexica is an AI-powered answering engine.

Star getzep / graphiti Build Real-Time Knowledge Graphs for AI Agents

Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.

Sponsor Star NirDiamant / RAG_Techniques This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

Star Cinnamon / kotaemon An open-source RAG-based tool for chatting with your documents.

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.

Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程,分享大模型选择指南(DeepSeek / GPT / Gemini / Claude)、最新 AI 资讯、Prompt 提示词大全、AI 知识百科(RAG / MCP / A2A)、AI 编程教程、AI 工具用法(Cursor / Claude Code / OpenClaw / TRAE / Lovable / Agent Skills)、AI 开发框架教程(Spring AI / LangChain)、AI 产品变现指南,帮你快速掌握 AI 技术,走在时代前沿。本项目为开源文档版本,已升级为鱼皮 AI 导航网站

Star memvid / memvid Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

A vector index built on TurboQuant, written in Rust with Python bindings

Incremental engine for long horizon agents 🌟 Star if you like it!

Star Future-House / paper-qa High accuracy RAG for answering questions from scientific documents with citations

Star OpenBMB / UltraRAG A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

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.

Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services

ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.

A Markdown-first memory system, a standalone library for any AI agent. Inspired by OpenClaw.

Local AI anywhere, for everyone — LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. No cloud, no subscriptions.

A RAG pipeline implementation built on the 'Epstein Files 20K' dataset from Hugging Face (Teyler).

Total conversion for Claude Code. Use RAG and the RPG ruleset apis to play a persistent adventure in any book or world of your choosing.

“接入大模型的AI-agent 互联网后端面试助手,支持在线 ACM模式IDE 与多平台面经整合,支持定制化个人面经库(RAG)与简历/面试复盘”

Recursive reasoning engine for AI agents and vector databases. Powered by MIT's RLM.

End-to-end RAG pipeline with built-in evaluation metrics
Paste a github.com URL. Submissions are reviewed before they are tracked.