RAG 框架

SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

可私有部署的多租户知识智能体平台：统一 RAG、知识图谱、多智能体、MCP/Skills、沙盒与权限管理。Yuxi = Cloud Agents + Knowledge RAG, Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.

每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈

The AI search platform

🔥 基于大模型和 RAG 的智能问数系统，对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.

HelixDB is an OLTP graph database with native vector and full-text search built in Rust on Object Storage.

Learn AI and LLMs from scratch using free resources

⚡️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

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

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

《大模型白盒子构建指南》：一个全手搓的Tiny-Universe

RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

Everything you need to know to build your own RAG application

A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.

Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.

Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.

[KDD'2026] "VideoRAG: Chat with Your Videos"

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.

The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.

编程导航 AI 开发实战新项目，基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus，覆盖 AI 大模型接入、Spring AI 核心特性、Prompt 工程和优化、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、AI Agent 开发（Manas Java 实现）、Cursor AI 工具等核心知识。用一套教程将程序员必知必会的 AI 技术一网打尽，帮你成为 AI 时代企业的香饽饽，给你的简历和求职大幅增加竞争力。

Local-first AI job intelligence workbench for scraping roles, ranking fit, and generating tailored application materials.

NestJS Helper + AI Chatbot Development

The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.

[ACL2026] "MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.

Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.

Create characters in Unity with LLMs!

🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Anthropic, Gemini, Ollama, etc supported. :fireworks: Code RAG

😎 Awesome list of Retrieval-Augmented Generation (RAG) applications in Generative AI.

A 7-layer memory operating system for Hermes Agent — persistent memory with Qdrant, structured facts, fabric recall, auto-curated wiki, and surgical context injection. Runs locally, any LLM provider.

LangChat 是Java&LangChain4j生态的开源 AI Agent 应用平台，支持多模型、Agent、知识库 RAG、Skills、MCP 与智能问数。

TrustRAG：The RAG Framework within Reliable input,Trusted output

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL

A practical lab for building, testing, and evaluating apps with Apple's Foundation Models framework.

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

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

Parsing-free RAG supported by VLMs

RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.

Transparent Python RAG reference with FAISS + BM25 hybrid retrieval, reranking, Gradio UI, and FastAPI.

This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!

RAG Time: A 5-week Learning Journey to Mastering RAG

LAYRA—an enterprise-ready, out-of-the-box solution—unlocks next-generation intelligent systems powered by visual RAG and limitless visual multi-step agent workflow orchestration.

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

A Graph RAG System for Evidenced-based Medical Information Retrieval [ACL 2025]

Long-term memory for AI assistants. Graph + vector store that recalls decisions, relationships, and context across sessions.