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New Container: Vespa AI (Vector Database & Search Engine) #902

@olipze

Description

@olipze

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.

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
  • 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:

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