Vector Knowledge Base

Example Use Cases

• 1

  Perform semantic search over a personal or organizational document knowledge base.

• 2

  Organize and cluster documents automatically based on content similarity.

• 3

  Integrate with a vector database backend to retrieve relevant document chunks efficiently.

Description

Vector Knowledge Base is an application that converts various document formats into vector embeddings for fast semantic search and organization. It supports multi-format uploads, automatic clustering, 3D visualization, and folder management, enabling users to find documents by meaning rather than keywords. The system integrates with AI agents via the Model Context Protocol (MCP) to enhance document search, creation, and management.