Individual skill
google-cloud-solution-rag-enterprise-search-gke-sqldb
Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud. Use when users need a vector-enabled SQL database as the store and index for the embedding vectors, an open model and open-source inferencing framework, and Kubernetes containers to host all the application components. DON'T use this skill for fully-managed RAG, or SaaS search services, or when a non-SQL vector database is required.
skills/cloud/google-cloud-solution-rag-enterprise-search-gke-sqldb/SKILL.md
Source commit 496fbede89dac1faf0d180a936bfc472b6fbf886
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- Yes
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- Yes
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 4, 2026
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Repository context
- Repository stars (not skill ratings)
- 23,075
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- google Repository topic
- googlecloud Repository topic
- skills Repository topic
- data Derived category
- devops Derived category
- design Derived category
- data-databases Derived category
- devops-containers Derived category
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SKILL.mdcore · 16,105 bytesSKILL.mdcore · 16,105 bytesSKILL.mdcore · 16,105 bytesassets/output-template.mddoc · 5,599 bytesreferences/attribution.mddoc · 2,007 bytesreferences/design-recommendations.mddoc · 1,993 bytesreferences/product-selection-recommendations.mddoc · 2,997 bytesreferences/related-documentation.mddoc · 7,571 bytes
Read excerpt
# RAG for enterprise search using GKE and AlloyDB
This skill provides a workflow to design and implement a secure, low-latency,
and high-accuracy RAG-enabled conversational search solution for private
enterprise content by using an AlloyDB database, Cloud Storage, and a Google
Kubernetes Engine (GKE) cluster to host all the application components,
including an open model and an open-source inference framework.
## Attribution
**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read and follow the instructions in
[Usage Attribution](references/attribution.md).