TopK
TopK is an AI-native document database that combines multi-vector, keyword, and faceted search in a single query for enterprise scale and performance.
At a Glance
- Enterprise Software
- AI Developers
- E-commerce
- Healthcare
AI Tools by TopK
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TopK
AI Native Hybrid Search Engine
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Products & Services
A document database with native multi-vector, keyword, and faceted search in a single query.
Software development kits for Python, JavaScript, and Rust.
Native connectors for Postgres, MongoDB, and Kafka to sync data into TopK.
Market Position
Differentiates by offering 'True Hybrid Retrieval' that avoids the limitations of rank-fusion and provides sub-10ms latency with high recall.
Leadership
Founders
Marek Galovič
Co-founder & CEO. Previously Principal Software Engineer at Pinecone and Data Scientist at Shopify. Researcher at Artificial Intelligence Center.
Jerguš Lejko
Co-founder & CTO. Previously Software Engineer at Pinecone, Macromo, and Parrot. Engineering Manager at Parrot.
Executive Team
Marek Galovič
Co-Founder, CEO
Ex-Pinecone, Ex-Shopify.
Jerguš Lejko
Co-Founder, CTO
Ex-Pinecone, Ex-Parrot.
Board of Directors
Founding Story
Founded by former Pinecone engineers Marek Galovič and Jerguš Lejko, TopK was created to solve the complexity of hybrid search by building a database that treats vector and keyword retrieval as first-class citizens in a unified architecture.
Business Model
Revenue Model
Provisioned capacity and usage-based pricing (storage, writes, queries).
Pricing Tiers
Usage-based storage cost.
Cost for write operations.
Cost for memory-based queries.
Cost for scan-based queries.
Target Markets
- Enterprise Software
- AI Developers
- E-commerce
- Healthcare
- AI-native search engines
- Enterprise information retrieval
- RAG (Retrieval-Augmented Generation)
- Multi-modal data search (image/video/text)