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 server for developers using MCP. Hybrid search (BM25 + semantic) for exact technical terms — fully private, zero setup.

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 – drop-in local RAG for Claude / Copilot / Agents.

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

Nous: A privacy-focused personal knowledge assistant using local LLMs to securely interact with your documents and enhance information retrieval.

All CPU efficient GPU-less Financial Analysis RAG Model with Qdrant, Langchain and GPT4All x Mistral-7B, run RAG without any GPU support!

A RAG-based question-answering system that processes user queries using local documents. It extracts relevant information to answer questions, falling back to a large language model when local sources are insufficient, ensuring accurate and contextual responses.

RAG your Language Model convos in local. OpenAI ChatGPT support

A completely local RAG.

LocalRAG: Evaluating local RAG pipeline [University of St. Gallen Bachelor Thesis]

A fully local RAG application using Azure Local Foundry, LangChain, and ChromaDB. It runs optimized LLMs offline, enabling private semantic search and RetrievalQA workflows on your device. Designed to be simple, fast, and entirely cloud-independent.

Locally run RAG tool

🤖 Build your own local Retrieval-Augmented Generation system for private, offline AI memory without ongoing costs or data privacy concerns.

A demonstration of Retrieval-Augmented Generation (RAG) applied to protein analysis