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Vespa is an open-source platform for building large-scale AI-powered search and recommendation systems. Originally developed at Yahoo, it combines vector search, full-text search, and structured filtering with machine-learned ranking and inference, all in a single engine that serves queries with low latency over billions of documents. Vespa Cloud offers a managed version for teams that do not want to operate clusters themselves.
Vespa is chosen by organizations with demanding search, recommendation, and RAG workloads that outgrow simpler vector databases. It supports real-time indexing, tensor computation for ranking, and complex queries mixing semantic and keyword signals. Its ability to run inference inside the serving layer makes it powerful for personalized ranking and hybrid retrieval at scale.
Pricing Model
FREEMIUM
Starting Price
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| Feature | Open Source | Vespa Cloud Popular |
|---|---|---|
| Vector, text, and structured search | — | |
| Machine-learned ranking | — | |
| Real-time indexing | — | |
| Self-hosted clusters | — | |
| Community support | — | |
| Managed clusters | — | |
| Autoscaling | — | |
| Automated upgrades | — | |
| SLAs and support | — | |
| Security and compliance | — |
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
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High-performance open-source vector database
Open-source vector database built for scale
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