TopK
TopK provides a unified retrieval engine that combines dense, sparse, and multi-vector search for AI application teams.
Founded
2024TopK provides a unified retrieval engine that combines dense, sparse, and multi-vector search for AI application teams.
topk.ioCrawled Oct 19, 2026
The page presents retrieval benchmarks for topk-embed-v1, ViDoRe v3, and BrowseComp-Plus, including latency at billion-document scale.
Use TopK as a RecSys retrieval layer that can grow with new representations, new surfaces, online writes, and product-aware filters.
TopK's responsible disclosure and bug bounty policy: scope, reporting process, rewards, and safe harbor for security researchers.
Deep dives into search, retrieval, and what we’re building at TopK.
Open-source multimodal multi-vector embedding models, with a production model offered inside TopK for $0.05/1M tokens. Frontier document retrieval quality at the lowest cost with compact multi-vector representations.
Context is a search problem. Without the right context, even the best models fail. This post describes why dense embedding based RAG is broken for agents and how multi-vector (late interaction) retrieval fixes it.
Why AI agents reach for regex search, and how TopK uses sparse n-grams to make those queries fast.
Usage-based retrieval pricing that scales with your workload. Estimate storage, writes, and query costs.
Elasticsearch added vectors on top of Lucene. TopK was built for them and speaks the same API. Compare retrieval accuracy, cost, supported APIs, and when Elasticsearch is the better choice.
The page introduces the team behind TopK, a search engine designed for accuracy-critical AI applications.
The TopK team offers contact options for sales, support, private deployment, and general inquiries.
Integrated inference and storage. Flexible retrieval primitives for AI teams pushing the frontier of accuracy, performance, and scale.
Prague-based startup **TopK** is developing an AI-native search platform for both structured and unstructured data. The company has raised **$5.5 million in seed funding** to advance its technology, with the round led by an unnamed investor. TopK aims to unify search capabilities across diverse data types, addressing gaps in existing enterprise search solutions.
Jul 2025 · AI InsiderNews article
TopK, a San Francisco-based search engine for AI applications, secures €4.6 million in seed funding. The company develops specialized search technology tailored to AI workflows. Investors back its potential to enhance AI-driven data retrieval and processing.
Jul 2025 · The SaaS NewsNews article
TopK secures $5.5 million in seed funding to advance its AI-driven search solutions for enterprises. The round includes investments from Earlybird, KAYA, Irregular Expressions, and multiple angel backers. The company focuses on improving search capabilities for business applications.
Jul 2025 · en.ain.uaNews article
TopK, a Prague-based startup, develops an AI-native search engine designed to help developers and AI agents efficiently query data. The company has secured €4.6 million in Seed funding to accelerate its expansion and further refine its query-engine technology for enterprise use.
Jul 2025 · EU-StartupsNews article