RAG

MindAct: Community-Driven AI Agent for Claude, Obsidian, and RAG Knowledge Graphs

A self-hosted retrieval-augmented search API: web search, content extraction, embeddings, and answer generation.

RAG over GitHub issues, with a hand-reviewed eval set and an audit of the judge itself. Reports the interval, not just the best number.

A free AI assistant and survival library that runs on your own computer, with no internet needed. Shows the source of every answer.

A lightweight knowledge base for people and agents

我的rag系统，可以用于导入知识库进行知识问答，可集成第三方mcp，也做了权限隔离等

Self-hosted AI-платформа с расширенными возможностями: RAG, агенты, веб-поиск, исследования, коннекторы, любые LLM и гибкие настройки

Source code for BTR-dualRAG: Bioinformatics Tool Recommendation With Dual Retrieval-Augmented Generation

The smartest brains on earth, in an MCP. Cited, searchable MCP servers built from founders' talks, essays and posts.

Open-source platform for AI chat agents that answer from your own knowledge base. Hybrid RAG search in PostgreSQL, MCP and custom tools, guardrails and human handoff. Put agents on a hosted chat page, a website widget, Slack, Teams, WhatsApp, Telegram or a REST API. Self-host with Docker and open-weight models.

Open-source AI chatbot & site search for your docs. One <script> tag, streaming answers with sources. 100% Cloudflare-native (Workers AI + Vectorize + D1), runs free on the free tier.

法规/规程知识库智能体:混合检索(bge-m3 稠密+稀疏 → 服务端 RRF → 交叉编码器重排)+ GraphRAG + 带三道闸与审计的 ReAct 智能体。含检索质量评测设施、FastAPI 接口与 React 界面。

Open-source Ask AI for your docs, with an MCP server for agents: cited answers on your own model key, from one static index built with your site. No vendor, no vector database. Starlight, Docusaurus and VitePress plugins, Next.js, or one script tag.

Offline AI research assistant for Android. Answers from Wikipedia and other reference packs on the phone, with citations. Gemma 4 runs on the Pixel 10's Tensor NPU (first word in about 2 s); other phones use llama.cpp. No INTERNET permission.

基于 RAGFlow v0.27.2 的个人 RAG 与 Agent 研究扩展：自适应混合检索、视觉索引融合、规则式证据校验及模块化演示。Phase 2/3 已部分接入，后续治理与真实质量评测持续推进。

按问题复杂度自动分流的电商客服 RAG：简单问题直接回答；复杂问题经过多跳检索并自我纠错；查单、退改通过工具调用完成，且高风险写操作必须先经人工确认。基于 FastAPI 和 LangGraph，混合检索并附带引用，内置离线评测与 Prometheus 指标。涵盖简历写法和项目面试拷打

Ontology-Augmented Generation for AI agents.

A database-agnostic Agentic GraphRAG framework using swappable System One models (local Laya / cloud Jev). A plug-and-play intelligence layer featuring a complete 4-phase pipeline, continuous evaluation and custom A* traversal for any graph database.

企业私有 AI 知识工作台：中文搜索、飞书接入、Agent 与演示文稿