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).
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).
بعد التثبيت، يمكنك استخدام هذه المهارة بتشغيل الأمر التالي في الطرفية:
skills use google-gemini-embeddings