architecture-patternsdevelopment
google-gemini-embeddings
Build RAG systems and semantic search with Gemini embeddings (gemini-embedding-001). 768-3072 dimension vectors, 8 task types, Cloudflare Vectorize integration. Use when: vector search, RAG systems, semantic search, document clustering. Troubleshoot: dimension mismatch, wrong task type, rate limits (100 RPM), text truncation (2048 tokens).
maintainer
jezweb
更新日 1/19/2026
スター
166
フォーク
21
quick start
Installation and usage
Build RAG systems and semantic search with Gemini embeddings (gemini-embedding-001). 768-3072 dimension vectors, 8 task types, Cloudflare Vectorize integration. Use when: vector search, RAG systems, semantic search, document clustering. Troubleshoot: dimension mismatch, wrong task type, rate limits (100 RPM), text truncation (2048 tokens).
インストール
$ install --globalskills.sh
使い方
インストール後、ターミナルで以下のコマンドを実行してこのスキルを使用できます：
skills use google-gemini-embeddings