
Hybrid search and ML ranking engine that serves billions of documents
Do you work on Vespa.ai?
This listing is unclaimed. Claim it for free to edit the details, add screenshots and reply to reviews.
Vespa.ai is an open-source serving engine for hybrid search. It combines vector similarity, BM25 text ranking and structured filtering in a single query, and it was built by Yahoo for web-scale workloads. The engine handles billions of documents with millisecond latency. It adds real-time indexing, ML model serving, tensor computation and ACID-compliant writes, along with custom ranking models, query federation and geographic search. Teams use Vespa for recommendation systems, personalization and retrieval-augmented generation (RAG). Vespa Cloud offers a managed option with deploy choices on AWS and GCP.
From people who have used it. One review per person, checked by a human.
No reviews yet. Be the first to say something useful.