RAG In A Box

Example Use Cases

• 1

  Search and answer questions grounded in personal or company documents.

• 2

  Index and semantically search multi-format document collections with rich metadata filtering.

• 3

  Integrate document search and management tools via the MCP protocol.

Description

RAG In A Box enables users to drop documents into a folder and build a powerful hybrid search index combining vector and keyword search with LLM enrichment, OCR, and taxonomy management. It supports multiple document formats including Markdown, PDFs, and images, and integrates seamlessly with any MCP-compatible AI assistant. The system requires no GPU and can run fully self-hosted or via cloud APIs, offering robust, incremental indexing and rich metadata filtering for personal, company, or research document collections.