TopK

TopK is an AI-native search engine and document database for enterprise and development teams building production-grade retrieval for AI apps and large-scale search.

Key capabilities include:

• Hybrid search in one composable query, combining vector similarity, keyword (BM25) matching, metadata filtering, and faceted search for fine-grained retrieval and ranking.
• Multi-vector, multi-modal indexing, with support for unlimited vector representations per document across text, images, video, and audio.
• High-performance at scale, designed for millions of documents with sub-10ms latency at high QPS, plus high write throughput for demanding workloads.
• Integration options for production stacks, including SDKs for Python, JavaScript, and Rust, plus connectors for Postgres, MongoDB, and Kafka.

Pricing: Paid (Usage-based). It follows a Pay-as-you-go model billed monthly.

Notable for combining dense and sparse retrieval with filtering and custom scoring in a single query model, targeting predictable performance and cost for web-scale, multi-tenant enterprise deployments. The company has raised $5.5M in seed funding to expand its enterprise offering.