Create embeddings (LangChain - Cohere format)

POST/langchain/cohere/v2/embed

Creates embeddings using Cohere-compatible format via LangChain.

Request Body

application/json

TypeScript Definitions

Use the request body type in TypeScript.

model*string

ID of an available embedding model

input_type*string

Specifies the type of input passed to the model. Required for embedding models v3 and higher.

texts?array<string>

Array of strings to embed. Maximum 96 texts per call. At least one of texts, images, or inputs is required.

Itemsitems <= 96

images?array<string>

Array of image data URIs for multimodal embedding. Maximum 1 image per call. Supports JPEG, PNG, WebP, GIF up to 5MB.

Itemsitems <= 1

inputs?array<>

Array of mixed text/image components for embedding. Maximum 96 per call.

Itemsitems <= 96

embedding_types?array<string>

Specifies the return format types (float, int8, uint8, binary, ubinary, base64). Defaults to float if unspecified.

output_dimension?integer

Number of dimensions for output embeddings (256, 512, 1024, 1536). Available only for embed-v4 and newer models.

max_tokens?integer

Maximum tokens to embed per input before truncation.

truncate?string

Handling for inputs exceeding token limits. Defaults to END.

Response Body

`application/json`

curl -X POST "http://localhost:8080/langchain/cohere/v2/embed" \  -H "Content-Type: application/json" \  -d '{    "model": "embed-english-v3.0",    "input_type": "string"  }'

{
  "id": "string",
  "embeddings": {
    "float": [
      [
        0
      ]
    ],
    "int8": [
      [
        0
      ]
    ],
    "uint8": [
      [
        0
      ]
    ],
    "binary": [
      [
        0
      ]
    ],
    "ubinary": [
      [
        0
      ]
    ],
    "base64": [
      "string"
    ]
  },
  "response_type": "string",
  "texts": [
    "string"
  ],
  "images": [
    {
      "width": 0,
      "height": 0,
      "format": "string",
      "bit_depth": 0
    }
  ],
  "meta": {
    "api_version": {
      "version": "string",
      "is_deprecated": true,
      "is_experimental": true
    },
    "billed_units": {
      "input_tokens": 0,
      "output_tokens": 0,
      "search_units": 0,
      "classifications": 0
    },
    "tokens": {
      "input_tokens": 0,
      "output_tokens": 0
    },
    "warnings": [
      "string"
    ]
  }
}

{
  "type": "string",
  "message": "string",
  "code": "string"
}

{
  "type": "string",
  "message": "string",
  "code": "string"
}

Create embeddings (LangChain - Cohere format)

Request Body

Response Body

200application/json

400application/json

500application/json

`application/json`

`application/json`

`application/json`