RAG for Local LLM, chat with PDF/doc/txt files, ChatPDF. 纯原生实现RAG功能,基于本地LLM、embedding模型、reranker模型实现,支持GraphRAG,无须安装任何第三方agent库。
local-rag 开源项目推荐(82 个)
local-rag 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 82 个仓库Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.
一个可扩展的模型上下文协议(MCP-Local-MRL-RAG-AST)服务器,为AI助手提供智能语义代码搜索。采用本地AI模型构建,灵感来自Cursor的语义搜索。
整个本地人工智能堆栈集中在一个可执行文件中:它在每个图形处理器上运行和管理本地人工智能模型,它是一个您可以对话的搜索引擎,并引用来自您的文件、代码和网络的答案。用于编码代理、网络爬虫、TUI、CLI、REST API、Python库的LCP服务器。不需要Ollama或LM Studio,可与两者配合使用。
Give any local LLM a billion-token memory. Open-source, local-first context + memory engine for Ollama and AI agents — runs on your own machine, free. 🧠⚡
Caelune (凯露恩) — Local-first retrieval for private Markdown, PDF, and Tika documents, with a Windows desktop app and read-only MCP server.|本地优先的私人知识检索工具。
Local RAG server for code editors. Scans your codebase, builds a local context index, and connects to any external LLM for context-aware completions and assistance.
Local FAISS vector store as an MCP server – Agent Memory, drop-in local semantic search for Claude / Copilot / Agents.
local RAG extension for pi coding agent
本地实验性 RAG 试验场,用于探索检索质量、语料构建、置信度与过滤链设计。可配置的检索编排、排序、过滤流水线、可视化文档依据、网络搜索、Open WebUI 集成,以及丰富的调试洞察。支持 Ollama 和 vLLM,可通过 Dev Containers 或直接在 Win 和 Linux 上原生运行。
Jev RAG (Jev-RAG / JevRAG): open-source local knowledge search with BM25 + Jev reranking, agentic and hybrid retrieval, cited answers, and reproducible benchmarks.
Kash is a Go CLI that turns your raw documents (PDFs, Markdown, text files) into a self-contained AI agent packaged in a lightweight Docker container.
Institutional-grade offline adaptive learning platform featuring course-independent Socratic tutoring and strictly scoped air-gapped RAG.
A fully local, privacy-first personal AI assistant. Ask questions about your own data — emails, documents, chats — without anything leaving your machine.
Local RAG system with a built-in governance agent that filters sensitive or restricted information with separated agent logging systems to keep privacy and security
LynxMCP: local MCP server for the code questions grep can't answer. Call graph and blast radius, hybrid semantic + lexical code search on ONNX Runtime, library docs and PDFs as sources. No cloud, no PyTorch.
Nous: A privacy-focused personal knowledge assistant using local LLMs to securely interact with your documents and enhance information retrieval.
Privacy-first Multimodal Data Refinery, Repo Context Firewall (Prompt Injection & Trojan Source Defense), Offline Vietnamese OCR, Multilingual E5 ONNX + SQLite FTS5 RAG & 9-Tool MCP Server.
All CPU efficient GPU-less Financial Analysis RAG Model with Qdrant, Langchain and GPT4All x Mistral-7B, run RAG without any GPU support!
⊛ Consciousness Architecture. Change the word. Change the world. ⊛
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/local-rag。
- 该话题在 GitHub 上共有 82 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1913 Star,覆盖 5 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。