Embeddings Google Gemini
Generate vector embeddings using Google Gemini models on indie.money
Written By pvdyck
Last updated 1 day ago
Embeddings Google Gemini
Supported — Full n8n feature parity
| Auth | Google Gemini (PaLM) API key via Secure Vault |
Compatibility
Usage
Connect this node as a sub-node to a Vector Store node (Supabase, Pinecone, or Qdrant) to generate embeddings for document storage and retrieval.
Each model uses different dimensional density for embeddings. Make sure to use the same dimensionality for your vector store. The default model uses 768-dimensional embeddings.