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vespa

The AI search platform

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rubyjava/mavenvector-databasevespasearch-enginebig-datatensorserving-recommendationJavaaivectorjavavector-searchserverragmachine-learningsearch

Vespa is a search and serving platform combining full-text search, vector search, and machine learning inference. It is positioned as a backend for AI applications including retrieval-augmented generation, recommendation, and large-scale search serving.

You reach for it when you need one server that handles keyword search, vector retrieval, and ML-based ranking over big data in a single platform.

Use it to

  • Build RAG pipelines with vector and text search
  • Serve recommendation and ranking workloads
  • Run vector database workloads
  • Deploy large-scale search applications
  • Apply machine-learned ranking over tensors

For Developers building search, recommendation, or RAG backends

Role
rag
Language
Java
Licence
Apache-2.0
Forks
738
Open issues
223
Last push
2026-09-15
Latest release
v7.469.18 · 2021-09-22
topicssearch-enginevector-searchvector-databaseragmachine-learningjava