TopK helps AI companies ship agents customers can trust by turning complex in-domain documents into source-backed context, without maintaining OCR, chunking, vector databases, rerankers, retrieval glue, and citation infrastructure.
TopK is fast and provides accurate answers.
See how it performs on real data →▋
For liquid oxygen and nitrogen servicing, personnel must wear:
Document Processing
Unified Retrieval Engine
TopK gives agents source-backed context from complex documents, tables, charts, policies, manuals, contracts, medical records, claims files, and more — so every answer can be grounded, cited, and trusted.
Ground financial agents in filings, policies, claims, KYC/KYB docs, research, and internal memos with citations and auditability.
Give legal agents matter-aware context with citation-grade retrieval across contracts, precedents, exhibits, policies, and firm knowledge.
Ground clinical, payer, revenue-cycle, and medical-affairs agents in source evidence from records, guidelines, policies, and scientific documents.
Turn manuals, SOPs, diagrams, work orders, and maintenance history into technician-ready answers with exact source references.
Evaluated on a public dataset of complex enterprise documents spanning finance, legal, medical, and industrial domains.
Answer accuracy judged by GPT5 on Vidore V3 Finance
TopK comes with tooling to get you started fast. Python and JavaScript SDKs, a CLI, an MCP Server and guides to get you started.
Native Python client for ingestion and retrieval.
JavaScript/TypeScript client for Node.js and edge runtimes.
Manage, ingest, and query directly from your terminal.
TopK is built from the ground up with enterprise security in mind. Data is encrypted in transit and at rest, access is scoped by role, and our infrastructure is audited continuously. When you need full network control, you can deploy to your own VPC. TopK is SOC 2 Type I certified.

Send us your hardest documents and queries. We’ll compare TopK against your current retrieval stack on answer accuracy, citation precision, recall, latency, and cost.