What does TopK do, and what problem does it solve?
TopK is a search engine platform designed for accuracy-critical AI applications. It provides a single API to build high-quality search over structured and unstructured data, solving the problem of integrating complex retrieval, inference, and document processing for AI systems.
In what situations would you use TopK?
You would use TopK when you need to build state-of-the-art search functionality for AI applications, such as AI agents or RAG systems. It is suited for situations requiring hybrid search combining dense vectors, keywords, and metadata filters within a single query.
What features and capabilities does TopK offer?
TopK offers a unified retrieval engine with hybrid search, multi-vector retrieval, and custom scoring in a single query. It includes features for vector search, keyword search (BM25), and native late interaction retrieval over multi-vector embeddings, with claimed sub-100ms latency at billion-scale.
How is TopK priced or packaged?
The evidence indicates a usage-based pricing model. TopK is built on object storage with a scalable compute layer, where you 'use only what you need' and 'pay only what you use', suggesting it is not a fixed-cost subscription.
Who is TopK designed for?
TopK is designed for developers and teams building AI applications. The platform offers native SDKs for Python, JavaScript, and Rust, as well as a SQL compatibility layer and an MCP server, targeting users who need to integrate advanced search into their tech stack.
What is TopK?
TopK is a search engine API platform categorized as a Developer & AI Platform. It provides infrastructure for developers to build search into accuracy-critical AI applications, vertically integrating retrieval, inference, and document processing.