teddynote-lab/langconnect-client
A Modern GUI Interface for Vector Database Management(Supports MCP integration)
This project provides an easy-to-use web interface for managing your vector databases, specifically those built on PostgreSQL with pgvector. It allows knowledge managers, AI content specialists, and data stewards to upload various document types (PDF, TXT, DOCX), automatically extract text, and then organize and search these documents using both semantic and keyword-based searches. The interface also integrates with AI assistants like Claude and Cursor, enabling them to leverage your curated document collections for improved responses.
321 stars. No commits in the last 6 months.
Use this if you need a visual tool to manage your knowledge base, making documents easily searchable for both human users and integrated AI assistants, without writing code.
Not ideal if you prefer command-line interfaces, do not use PostgreSQL with pgvector for your vector database, or require managing a very large number of highly specialized, non-document data types.
Stars
321
Forks
79
Language
TypeScript
License
MIT
Category
Last pushed
Jul 09, 2025
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/teddynote-lab/langconnect-client"
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