{
  "name": "embeddingsgooglegemini",
  "display_name": "Embeddings Google Gemini",
  "description": "Use Google Gemini Embeddings",
  "group": [
    "transform"
  ],
  "versions": [
    1.0
  ],
  "inputs": 1,
  "outputs": 1,
  "credentials": [
    {
      "name": "googlePalmApi",
      "required": true
    }
  ],
  "properties": [
    {
      "name": "notice",
      "display_name": "Each model is using different dimensional density for embeddings. Please make sure to use the same dimensionality for your vector store. The default model is using 768-dimensional embeddings.",
      "kind": "notice",
      "required": false,
      "default": ""
    },
    {
      "name": "modelName",
      "display_name": "Model",
      "kind": "options",
      "required": false,
      "default": "models/gemini-embedding-001",
      "description": "The model which will generate the embeddings. <a href="
    }
  ],
  "source_path": "/home/mcochran/n8n/packages/@n8n/nodes-langchain/nodes/embeddings/EmbeddingsGoogleGemini/EmbeddingsGoogleGemini.node.ts",
  "routing": {
    "base_url": "={{ $credentials.host }}",
    "auth_headers": [],
    "auth_query": [
      [
        "key",
        "{{apiKey}}"
      ]
    ],
    "credential_name": "googlePalmApi",
    "operations": [],
    "sends": [
      {
        "param_name": "modelName",
        "send_type": "body",
        "dest_key": "model",
        "applies_to_operations": [],
        "applies_to_resources": []
      }
    ]
  }
}