Vorkath offers a managed database combining vector and full-text retrieval with row storage for AI application developers.
Company
Vorkath offers a managed database designed so an AI application can keep vector search, full-text search, and structured rows in one system rather than across separate vector and relational databases. The service combines a vector index with BM25 full-text search and wide-column row storage, and it exposes Postgres-flavored SQL along with TypeScript and Python clients.
Vorkath differentiates on where its index lives: it runs on dedicated bare-metal NVMe hardware that Vorkath operates itself, keeping the working set resident in memory so queries avoid the cold starts of object-store-backed serverless databases. It targets developers building AI applications who want retrieval and row data from a single round trip, with capacity that grows by adding shards.