Vespa Cloud
Unified search and AI engine with seamless scaling, intelligent retrieval, and precision ranking. Goes beyond simple vector search with tensor support, multi-phase ranking, and hybrid retrieval blending semantic, textual, and structured signals at scale.
About this tool
Overview
Vespa Cloud is a fully managed service providing enterprise-scale search and AI capabilities. It addresses performance and scale challenges at the architectural level with native hybrid search and advanced ranking.
Features
- Unified Engine: Single platform for all search and AI needs
- Tensor Support: Advanced tensor operations for ML models
- Multi-Phase Ranking: Sophisticated ranking pipelines
- Hybrid Retrieval: Blends semantic, textual, and structured signals
- Seamless Scaling: Automatic resource scaling
- Real-Time Updates: Live document updates
- Advanced Queries: Complex query capabilities beyond simple similarity
Performance
In benchmarks with 50M vectors, Vespa achieved P50 latency of 16ms vs 140ms for Milvus at identical infrastructure cost. Consistently ranked top in vector database evaluations.
Why Vespa?
Marqo, a vector search company, chose Vespa as their underlying database after benchmarking against Milvus, OpenSearch, Weaviate, Redis, and Qdrant.
Use Cases
- Enterprise search applications
- Hybrid search systems
- Large-scale recommendation engines
- Production AI applications requiring advanced ranking
- Multi-modal search
Integration
Provides APIs and SDKs for multiple languages. Supports ColBERT and other advanced retrieval models.
Pricing
Managed cloud service with usage-based pricing. Free tier available for development.
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