EmbedConfig

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "#/components/schemas/EmbedConfig",
  "title": "EmbedConfig",
  "type": "object",
  "description": "Configuration for automatic embedding generation from source fields.",
  "properties": {
    "from": {
      "type": "array",
      "description": "Field names to generate embeddings from. Typesense concatenates these fields and generates an embedding vector.",
      "items": {
        "type": "string"
      }
    },
    "model_config": {
      "type": "object",
      "description": "Model configuration for embedding generation.",
      "properties": {
        "model_name": {
          "type": "string",
          "description": "Name of the embedding model. Supports built-in models like ts/all-MiniLM-L12-v2 or external models via OpenAI, Google, and other providers."
        },
        "api_key": {
          "type": "string",
          "description": "API key for external embedding services such as OpenAI."
        },
        "url": {
          "type": "string",
          "description": "URL of an external embedding service endpoint."
        },
        "access_token": {
          "type": "string",
          "description": "Access token for embedding service authentication."
        },
        "client_id": {
          "type": "string",
          "description": "Client ID for OAuth-based embedding services."
        },
        "client_secret": {
          "type": "string",
          "description": "Client secret for OAuth-based embedding services."
        },
        "project_id": {
          "type": "string",
          "description": "Project ID for cloud-based embedding services."
        }
      }
    }
  }
}