Tool overview
Vespa is listed under AI Infrastructure & MLOps AI tools.
What is Vespa?
Vespa is an open-source platform for real-time search, recommendation, retrieval, and AI serving over large data collections. It can run self-managed in containers or through Vespa Cloud, with documented query, document, and deployment APIs and private connectivity options.
Best for
Engineering teams serving large-scale search, recommendation, RAG, and ranking workloads
Who is it for?
Decision note
Best for engineering teams that need low-latency AI search and ranking at large scale and can manage application schemas, ranking logic, and capacity planning.
Key features
Real-time search, ranking, recommendation, and vector retrieval
Open-source self-managed deployment with official container images
Managed Vespa Cloud with usage-based infrastructure pricing
Documented query, document, and deployment APIs
Use cases
Serve hybrid and vector search at scale
Build recommendation and ranking systems
Power real-time RAG retrieval
Deploy low-latency AI applications over changing data
Pros
- Open-source Apache 2.0 platform
- Cloud pricing begins at $0.05 per vCPU-hour
- Free trial includes $300 in usage credits
Limitations
Teams must design schemas, ranking profiles, capacity, and deployment topology. Cloud costs depend on allocated resources and usage, while self-managed deployments require operational expertise.
Pricing details
Billing options
Pricing note
Vespa Cloud Startup resources begin at $0.05 per vCPU-hour and Basic resources at $0.10 per vCPU-hour, with memory, disk, support, and other resources billed separately. The free trial includes $300 in credits.
Supported languages
- English
Integrations
AWS services
Azure services
Google Cloud Platform
Custom data sources and applications
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