Cohere · Schema

CreateEmbedJobRequest

Properties

Name Type Description
model string The ID of the embedding model to use for the job.
dataset_id string The ID of a dataset of type embed-input. The dataset must have a validation status of Validated.
input_type string Specifies the type of input. Required for embedding models v3 and higher. Use search_document for vector database storage, search_query for search queries, classification for classifiers, and clusteri
truncate string Specifies how inputs longer than the maximum token length are handled. START discards the beginning, END discards the end.
embedding_types array Specifies the types of embeddings to generate.
name string An optional name for the embed job.
View JSON Schema on GitHub

JSON Schema

cohere-createembedjobrequest-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "#/components/schemas/CreateEmbedJobRequest",
  "title": "CreateEmbedJobRequest",
  "type": "object",
  "required": [
    "model",
    "dataset_id",
    "input_type"
  ],
  "properties": {
    "model": {
      "type": "string",
      "description": "The ID of the embedding model to use for the job.",
      "example": "embed-english-v3.0"
    },
    "dataset_id": {
      "type": "string",
      "description": "The ID of a dataset of type embed-input. The dataset must have a validation status of Validated."
    },
    "input_type": {
      "type": "string",
      "enum": [
        "search_document",
        "search_query",
        "classification",
        "clustering"
      ],
      "description": "Specifies the type of input. Required for embedding models v3 and higher. Use search_document for vector database storage, search_query for search queries, classification for classifiers, and clustering for clustering tasks."
    },
    "truncate": {
      "type": "string",
      "enum": [
        "START",
        "END"
      ],
      "description": "Specifies how inputs longer than the maximum token length are handled. START discards the beginning, END discards the end."
    },
    "embedding_types": {
      "type": "array",
      "description": "Specifies the types of embeddings to generate.",
      "items": {
        "type": "string",
        "enum": [
          "float",
          "int8",
          "uint8",
          "binary",
          "base64"
        ]
      }
    },
    "name": {
      "type": "string",
      "description": "An optional name for the embed job."
    }
  }
}

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