Design private enterprise search on GKE and AlloyDB.
What it does
Guides the design and implementation of private enterprise search using GKE and AlloyDB.
When to use it
Use for enterprise search requiring a vector-enabled SQL database, an open model, an open-source inference framework, and Kubernetes-hosted components; not for fully managed RAG, SaaS search, or non-SQL vector databases.
How to use it
Describe your enterprise search requirements and approve successive proposals; it produces an architecture guide and deployment code in your workspace.
Uses
What you need · 7
Requires the Google Developer Knowledge MCP server to ground generated architecture guidance using its document search, retrieval, and query tools.
Uses this skill as appropriate for security guidance; whether it is required to complete the workflow is unstated.
Access · 2
This skill
Google Cloud documentation
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