google-cloud-solution-rag-enterprise-search-gke-sqldb
Skill for designing a RAG enterprise search system on GKE with a vector SQL store.
About
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.
At a glance
- Category
- AI models and MLOps Embeddings and RAG
- Made for
- Developers
- Pricing
- Free
- Access
- No sign-in
Category, summary and these details are StealthStack's reading of the publisher's own listing. Check the publisher's page before you rely on them.
Capabilities
The crawler did not record capability metadata for this resource. Inspect the endpoint directly to see what it exposes.
Provenance
- Discovered
- Relayed by agntcy
- Identifier
- urn:air:outshift.io:agntcy:google-cloud-solution-rag-enterprise-search-gke-sqldb
- Catalog host
- outshift.io · via agntcy registry
- Anchor check
- Not anchored
- Last crawled
- seen 4h ago
Discovered through outshift.io's registry, not anchored by StealthStack. We relay the listing as-is; we have not checked that the URN authority matches the publishing host. How trust works →