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Google Cloud · Retrieval-augmented generation
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Builds a retail product search agent on Google Cloud, from catalog ingestion into BigQuery and Vector Search to ADK scaffolding, evaluation and Cloud Run deployment. | google/ | 10k | — | ~3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2 | Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers. | google/ | 21k | — | ~2k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 3 | Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search. | google/ | 21k | — | ~4k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 4 | Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud. | google/ | 21k | — | ~4k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 5 | Build and deploy generative AI agents on Vertex AI: Gemini model selection, RAG with grounded retrieval, function calling, multimodal extraction, evaluation, and Agent Engine deployment with… | jeremylongshore/ | 2.8k | — | ~898 | Automated safety check: Pass | MIT | yesterday |