Vector Knowledge Base

概要

Vector Knowledge Base functions as a personal semantic search engine, adept at converting a wide range of document types into an intelligent, searchable knowledge base. It leverages advanced vector embeddings and AI to allow users to seamlessly upload PDFs, Word documents, PowerPoint presentations, Excel sheets, images with OCR, and various code files. Users can then find precisely what they need by querying in natural language, transcending traditional keyword-based searches to understand the meaning and context of their stored information.

主な機能

• Auto-Clustering with HDBSCAN and TF-IDF for semantic organization and naming
• Semantic Search for conceptual understanding beyond keywords
• Multi-Format Document Support (PDF, DOCX, PPTX, XLSX, images with OCR, code files)
• AI Agent Integration via Model Context Protocol (MCP) for programmatic interaction
• Batch Upload & Folder Preservation to maintain original document structure
• 1 GitHub stars

ユースケース

• Building a personal knowledge base for research papers and study materials
• Organizing and semantically searching project documentation and code snippets
• Enhancing AI agents with a searchable document repository for information retrieval