Rag Vault

Rag Vault

Secure, local RAG pipelines for your documents and AI assistants.

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About Rag Vault

RAG Vault is an open-source tool that lets users run a local Model Context Protocol (MCP) server to search and interact with their own private documents (such as API specs, research papers, code docs) via Retrieval Augmented Generation (RAG) techniques. Designed for privacy and offline use, it enables AI assistants (e.g., Claude, Cursor, Codex) to access local knowledge bases with hybrid search, chunking, and reranking for high accuracy, and offers a web UI and REST API for management. Ideal for developers, technical teams, and privacy-conscious professionals seeking secure and powerful document search and RAG pipelines on their own hardware.

Pricing Plans
Free/Open Source
$0

Resources

Product Website

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

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Documentation

Comprehensive API reference and setup instructions for RAG Vault.

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Issues Tracker

Report bugs and request features directly on the GitHub repository.

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