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Description
What is the new container you'd like to have?
I'd like to request adding Vespa AI (the big data serving engine and vector database) container support.
- Docker container:
vespaengine/vespa:latest - Vespa website: https://vespa.ai/
- Documentation: https://docs.vespa.ai/en/vespa-quick-start.html
Benefits:
Vespa is a complete platform for building AI-powered applications with vector search, full-text search, and real-time data processing. It's particularly valuable for:
- Vector similarity search and semantic matching
- RAG (Retrieval-Augmented Generation) applications
- AI-powered search and recommendation systems
- ML model serving and inference
Having dedicated Vespa support in TestContainers would enable proper testing of modern AI applications that rely on vector databases.
Why not just use a generic container for this?
Using GenericContainer("vespaengine/vespa:latest") is not sufficient because:
Complicated setup/configuration:
- Vespa requires deploying application packages with specific configuration
- Needs multiple services (config server, container cluster) to be properly initialized
- Requires environment variables and specific startup sequence
- Application packages must be deployed and activated before the container is ready
Complex wait strategy:
- Cannot use simple HTTP wait - requires checking multiple endpoints:
- Config server health:
http://localhost:19071/state/v1/health - Container cluster readiness:
http://localhost:8080/ApplicationStatus - Configuration activation status
- Config server health:
- Startup sequence involves waiting for config server, then deploying applications, then waiting for container cluster
- Health checks need to verify multiple services are coordinated and ready
Other references:
- Vespa GitHub: https://github.com/vespa-engine/vespa
- Vespa Docker Hub: https://hub.docker.com/r/vespaengine/vespa/
- Vespa quick start guide: https://docs.vespa.ai/en/vespa-quick-start.html
- Vespa application packages: https://docs.vespa.ai/en/application-packages.html