Automatically discovers vector indexes in a Neo4j database and exposes each as a semantic search tool with metadata pre-filtering, enabling natural language queries with dynamic filter support.
Enables intelligent discovery and management of Claude Skills through semantic search, ratings, favorites, and community curation. Provides tools to search, upload, rate, and organize skills with natural language queries and comprehensive metadata.
Provides access to 462+ production-grade skills for AI-powered product building, enabling search, retrieval, and validation of skills across categories.
Enables AI agents to query a personal knowledge vault with hybrid search, entity relationships, user highlights, and vault statistics over a Supabase/Postgres schema.
Enables semantic search across text documents using vector embeddings stored in PostgreSQL. Provides multiple search modalities including semantic similarity, question/answer, and style-based search through a retrieval-augmented generation system.