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Local Knowledge Base

byjuly090
0
데이터 과학 및 ML
콘텐츠 관리
데이터베이스 관리

Establishes a ChromaDB-based local knowledge base system supporting text and PDF documents for vectorized storage and efficient similarity retrieval.

소개

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.

주요 기능

  • ChromaDB-powered vector search for efficient retrieval
  • Command-line interface for easy document management (add, query, delete, list, stats)
  • Direct integration with AI assistants via MCP (Model Context Protocol)
  • Supports TXT and PDF document processing with automatic chunking
  • 0 GitHub stars
  • Local persistent storage ensures data security and control

사용 사례

  • Managing personal document collections and research notes
  • Establishing secure, internal knowledge systems for enterprises or intranets
  • Enabling AI assistants to directly access and utilize local document repositories for context-aware responses