Vespa is an open-source serving engine with 6K+ GitHub stars for hybrid search combining vector similarity, BM25 text ranking, and structured filtering in a single query. Built by Yahoo for web-scale, it handles billions of documents with millisecond latency. Features real-time indexing, ML model serving, tensor computation, and ACID-compliant writes. Supports custom ranking models, query federation, and geographic search. Used for recommendation systems, personalization, and RAG.
Vespa combines vector, text, and structured search in one engine. Billions of documents, millisecond latency. Built by Yahoo for web-scale.
Real-time indexing, built-in ML model serving, tensor computation. ACID-compliant partial updates.
Custom ranking models, query federation, geographic search. Self-hosted or Vespa Cloud managed.
Free open-source / Vespa Cloud available
Self-hosted, Docker, Vespa Cloud
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AI-native state store with hybrid vector and full-text search
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