Rag Vault

Rag Vault

Local private document RAG server with hybrid/vector search for AI assistants.

Visit Rag Vault

About Rag Vault

Rag Vault is a privacy-focused, local Model Context Protocol (MCP) server that empowers AI assistants such as Claude, Cursor, Codex, and other compatible clients to semantically and literally search, ingest, and manage private documents on the user's own machine. Supporting formats like PDF and DOCX, Rag Vault features hybrid (semantic + literal) search using RRF fusion, optional cross-encoder reranking, and allows direct REST API queries as well as an intuitive web UI for uploading, browsing, and managing documents. It offers robust security (API keys, CORS, rate limiting), requires no Docker/Python/cloud, and works with popular AI coding tools to make private workflows and RAG (retrieval augmented generation) pipelines locally accessible, scalable, and customizable.

Resources

Product Website

Visit Rag Vault's official website for product details and getting started.

Visit website →