RAG Vault

About

RAG Vault provides a powerful, privacy-focused solution for integrating private documents directly into AI coding assistants. It allows developers to feed their API specifications, research papers, and internal documentation to AI models like Claude Code, Cursor, and Codex, ensuring all data remains on the user's machine. With zero configuration and a simple `npx` command, it addresses common pain points like data privacy concerns, complex setup processes, and limitations of purely semantic search by offering local-first operation, hybrid search capabilities, and a user-friendly web interface for document management.

Key Features

• Integrated Web Interface & REST API: Offers a full-featured UI for document management and a REST API for programmatic access, including upload, search, and status monitoring.
• Robust Security Features: Includes optional API key authentication, rate limiting, CORS control, and security headers for production deployments.
• Hybrid Semantic & Keyword Search: Combines vector similarity with exact keyword matching for highly relevant results, even for specific code terms.
• Zero-Configuration Setup: Deploys with a single `npx` command, eliminating complex installations involving Docker, Python, or databases.
• Complete Privacy & Local Operation: Keeps all documents and processing on your machine, with zero cloud data transfer after initial model download.
• 0 GitHub stars

Use Cases

• Enhance AI coding assistants with private codebase documentation for instant Q&A.
• Create a personal knowledge base by indexing research papers, notes, and internal documents.
• Integrate web documentation (HTML) to provide AI tools with up-to-date API specs and guides.