TopK

TopK is a search platform that vertically integrates retrieval, inference, and document processing to support search over structured and unstructured data in one API. It offers a hybrid search engine combining dense vectors, sparse vectors, multi-vector retrieval, keywords, filters, and custom scoring in a single query. Built on object storage, it provides 10x lower cost and unlimited scale with sub-100ms latency at billion-scale. TopK targets developers and enterprises building accuracy-critical AI applications such as RAG systems, file search, agent memory, and recommendation systems. It provides native SDKs for Python, JavaScript, Rust, and SQL compatibility via the Postgres wire protocol, allowing querying with familiar tools. The platform includes a File Search feature that grounds AI answers with citations from ingested documents. TopK differentiates with a unified retrieval engine that claims up to 80% higher recall compared to alternatives. Pricing is usage-based with transparent per-unit costs for storage, queries, and document processing. It supports embedding, OCR, parsing, and inference as part of the ingestion pipeline. TopK is designed for correctness-sensitive domains like finance, legal, and medical, and can be deployed privately in a VPC or on-premises. Latest updates include TopK SQL for advanced querying, SMVE multi-vector retrieval, and out-of-the-box high-quality search.