About the tool
Distributed engine unifying vector search, text search, and ML-driven ranking.
Vespa combines retrieval, ranking, and machine-learned inference in one serving engine, handling billions of documents with query latencies under 100 milliseconds. It supports dense, sparse, and hybrid retrieval with tensor-based ranking, making it suited to demanding RAG and recommendation workloads. Open source, with a managed Vespa Cloud.
- Pricing
- Open source
- Category
- Memory & RAG
- Maker
- Not publicly supplied
- Provenance
- Indexed by Attest from public information
✓ Attested