# Local RAG

A high-performance local RAG system based on Rust, integrated with Claude Desktop via the MCP protocol to achieve local processing, semantic search, and privacy protection of PDF documents.

Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.

A locally run RAG - style Model Context Protocol (MCP) server for web search. It can provide the latest web information retrieval function for models such as Claude without using an API.

Linggen is a locally-first RAG and MCP memory layer that provides cross-project shared memory, code repository navigation, and multi-tool connection capabilities for AI programming assistants. All data is processed locally by default.

Libragen is a local RAG library construction tool used to connect AI assistants (such as Claude) with your actual documents and code libraries. It reduces AI hallucinations by creating a searchable knowledge base, supports building from local files or Git repositories, and is directly integrated into the AI workflow through the MCP protocol.