Establishes a ChromaDB-based local knowledge base system supporting text and PDF documents for vectorized storage and efficient similarity retrieval.
This project provides a robust, local knowledge base system built on ChromaDB, designed for managing personal, enterprise, or intranet-based information. It automates the process of chunking, vectorizing, and storing TXT and PDF documents, enabling efficient similarity searches. A key enhancement is its integration with the Model Context Protocol (MCP), allowing AI assistants to directly interact with and leverage its knowledge base functionalities for enhanced query and management capabilities.