Find relevant blockchain blocks using semantic search with AI-powered vector similarity matching. Search Ethereum blocks by natural language queries to locate specific blockchain data.
Enables vector similarity search in Turso databases by querying specific vectors within a table, returning results based on similarity for advanced data analysis.
Search for entities and their relations via text or vector similarity on the MCP server, leveraging libSQL for efficient semantic knowledge storage and retrieval.
Perform vector similarity searches in Baidu Vector Database by combining vector matching and scalar attribute filtering for precise data retrieval. Specify table, vector, and optional filters to get relevant results efficiently.
Search your knowledge graph memory using semantic vector embeddings to find entities similar to your query, with options for hybrid search, similarity thresholds, and entity type filtering.
MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.
A multi-tenant service that automatically monitors Supabase database changes, generates OpenAI embeddings, and maintains synchronized vector search capabilities for each tenant's projects.