bge-base-en-v1.5

Model ID: @cf/baai/bge-base-en-v1.5

BAAI general embedding (bge) models transform any given text into a compact vector

Properties

Task Type: Text Embeddings

Code Examples

Workers - Typescript

export interface Env {
  AI: Ai;
}

export default {
  async fetch(request, env): Promise<Response> {

    // Can be a string or array of strings]
    const stories = [
      "This is a story about an orange cloud",
      "This is a story about a llama",
      "This is a story about a hugging emoji",
    ];

    const embeddings = await env.AI.run(
      "@cf/baai/bge-base-en-v1.5",
      {
        text: stories,
      }
    );

    return Response.json(embeddings);
  },
} satisfies ExportedHandler<Env>;

Python

import os
import requests


ACCOUNT_ID = "your-account-id"
AUTH_TOKEN = os.environ.get("CLOUDFLARE_AUTH_TOKEN")

stories = [
  'This is a story about an orange cloud',
  'This is a story about a llama',
  'This is a story about a hugging emoji'
]

response = requests.post(
  f"https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/ai/run/@cf/baai/bge-base-en-v1.5",
  headers={"Authorization": f"Bearer {AUTH_TOKEN}"},
  json={"text": stories}
)

print(response.json())

curl

curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/baai/bge-base-en-v1.5  \
  -X POST  \
  -H "Authorization: Bearer $CLOUDFLARE_API_TOKEN"  \
  -d '{ "text": ["This is a story about an orange cloud", "This is a story about a llama", "This is a story about a hugging emoji"] }'

OpenAI compatible endpoints

Workers AI also supports OpenAI compatible API endpoints for /v1/chat/completions and /v1/embeddings. For more details, refer to Configurations .

Response

Single string:

{
  "shape":[1,768],
  "data": [
    [0.03190500661730766, 0.006071353796869516, 0.025971125811338425,...]
  ]
}

Batch of two strings:

{
  "shape":[2,768],
  "data":[
    [0.03190416097640991, 0.006062490865588188, 0.025968171656131744,...],
    [0.002439928939566016, -0.021352028474211693, 0.06229676678776741,...],
    [-0.02154572866857052,0.09098546206951141,0.006273532286286354,...]
  ]
}

API Schema

The following schema is based on JSON Schema

Input JSON Schema

{
  "type": "object",
  "properties": {
    "text": {
      "oneOf": [
        {
          "type": "string",
          "minLength": 1
        },
        {
          "type": "array",
          "items": {
            "type": "string",
            "minLength": 1
          },
          "maxItems": 100
        }
      ]
    }
  },
  "required": [
    "text"
  ]
}

Output JSON Schema

{
  "type": "object",
  "contentType": "application/json",
  "properties": {
    "shape": {
      "type": "array",
      "items": {
        "type": "number"
      }
    },
    "data": {
      "type": "array",
      "items": {
        "type": "array",
        "items": {
          "type": "number"
        }
      }
    }
  }
}