Dataset Metadata Querying And Inspection

via “document metadata management and filtering”

SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

Unique: Stores metadata in PostgreSQL alongside vectors, enabling combined filtering (vector similarity + metadata constraints) in a single query. Metadata is mutable without re-ingestion, allowing post-hoc classification or tagging.

vs others: More flexible than Pinecone's metadata filtering because arbitrary SQL WHERE clauses are supported; more efficient than filtering in application code because filtering happens at the database layer.