Vespa
vespa.aiThe AI Search Platform for fast, accurate and large scale RAG
AI Toolsvector-searchragrecommendationsearch-enginemachine-learningopen-sourcepersonalization
About
Vespa is an open-source AI search platform that supports vector, text, and structured data search at massive scale. It enables use cases like RAG, personalization, recommendation, and e-commerce navigation by combining hybrid search with distributed machine-learned model inference. The platform is designed to handle billions of data items with sub-100ms query latencies.
Problem
Building high-quality AI search and RAG applications requires combining vector similarity, hybrid search, and relevance models at scale, which most platforms cannot support without limitations.
For
engineering teams building large-scale AI search, recommendation, or RAG applications
How it works
Vespa indexes vectors, tensors, text, and structured data and applies distributed machine-learned ranking at query time to deliver highly relevant results at any scale.
Business model
freemium
Status
launched