google-cloud-solution-rag-enterprise-search-gke-sqldb
google-cloud-solution-rag-enterprise-search-gke-sqldb is a RAG & retrieval skill for AI agents, published by google in the skills repository on GitHub. Skillspace rates google-cloud-solution-rag-enterprise-search-gke-sqldb D (66/100) and it passed the safety scan; the rating is based on static analysis only.
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.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 14,847
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Architecture guidance for Google Cloud GKE and AlloyDB
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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