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
업데이트됨 1/19/2026
스타
166
포크
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).
설치
$ install --globalskills.sh
사용법
설치 후 터미널에서 다음 명령을 실행하여 이 스킬을 사용할 수 있습니다:
skills use google-gemini-embeddings