{
  "$schema": "https://json-schema.org/draft/2019-09/schema",
  "$id": "https://www.krakend.io/schema/v3.0/ai/semantic-cache-service.json",
  "title": "AI Semantic Cache",
  "description": "AI Semantic Cache.\n\nSee: https://www.krakend.io/docs/enterprise/ai-gateway/semantic-cache/",
  "type": "object",
  "properties": {
    "embedders": {
      "description": "A list of embedding models available for use by AI Semantic Cache endpoints. Each object defines an embedder configuration.",
      "type": "array",
      "items": {
        "type": "object",
        "required": [ "name", "model_path", "vector_dimension" ],
        "properties": {
          "model_path": {
            "title": "Model Path",
            "description": "The path to the model files",
            "examples": [
              "/etc/krakend/models/sentence-transformers_all-MiniLM-L6-v2"
            ],
            "type": "string"
          },
          "name": {
            "title": "Embedder Name",
            "description": "A unique name that identifies this embedder configuration. This name is referenced by the `ai/semantic-cache` endpoint configuration.",
            "examples": [ "all-MiniLM" ],
            "type": "string"
          },
          "vector_dimension": {
            "title": "Vector Dimension",
            "description": "The number of dimensions in the vector produced by the embedding model.",
            "type": "integer"
          }
        },
        "patternProperties": {
          "^[@$_#]": true
        },
        "additionalProperties": false
      }
    }
  }
}