---
title: bge-m3
description: Multi-Functionality, Multi-Linguality, and Multi-Granularity embeddings model.
image: https://edgetunnel-b2h.pages.dev/dev-products-preview.png
---

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#  bge-m3 

Text Embeddings • BAAI 

`@cf/baai/bge-m3` 

Multi-Functionality, Multi-Linguality, and Multi-Granularity embeddings model.

| Model Info                                                                 |                           |
| -------------------------------------------------------------------------- | ------------------------- |
| Context Window[ ↗](https://edgetunnel-b2h.pages.dev/workers-ai/glossary/) | 60,000 tokens             |
| Unit Pricing                                                               | $0.012 per M input tokens |

## Usage

* [  TypeScript ](#tab-panel-5225)
* [  Python ](#tab-panel-5226)
* [  curl ](#tab-panel-5227)

```ts
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-m3",
      {
        text: stories,
      }
    );


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

```py
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-m3",
  headers={"Authorization": f"Bearer {AUTH_TOKEN}"},
  json={"text": stories}
)


print(response.json())
```

```sh
curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/baai/bge-m3  \
  -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 ](https://edgetunnel-b2h.pages.dev/workers-ai/configuration/open-ai-compatibility/). 

## Parameters

Synchronous — Send a request and receive a complete response 

* [ Input ](#tab-panel-5228)
* [ Output ](#tab-panel-5229)

query

`string`minLength: 1A query you wish to perform against the provided contexts. If no query is provided the model with respond with embeddings for contexts

▶contexts\[\]

`array`requiredList of provided contexts. Note that the index in this array is important, as the response will refer to it.

truncate\_inputs

`boolean`default: falseWhen provided with too long context should the model error out or truncate the context to fit?

request\_id

`string`The async request id that can be used to obtain the results.

Batch — Send multiple requests in a single API call 

* [ Input ](#tab-panel-5230)
* [ Output ](#tab-panel-5231)

▶requests\[\]

`array`requiredBatch of the embeddings requests to run using async-queue

request\_id

`string`The async request id that can be used to obtain the results.

## API Schemas (Raw)

 Synchronous Input [ ](https://edgetunnel-b2h.pages.dev/workers-ai/models/bge-m3/sync-input.json "Open") [ ](https://edgetunnel-b2h.pages.dev/workers-ai/models/bge-m3/sync-input.json "Download") 

 Synchronous Output [ ](https://edgetunnel-b2h.pages.dev/workers-ai/models/bge-m3/sync-output.json "Open") [ ](https://edgetunnel-b2h.pages.dev/workers-ai/models/bge-m3/sync-output.json "Download") 

 Batch Input [ ](https://edgetunnel-b2h.pages.dev/workers-ai/models/bge-m3/batch-input.json "Open") [ ](https://edgetunnel-b2h.pages.dev/workers-ai/models/bge-m3/batch-input.json "Download") 

 Batch Output [ ](https://edgetunnel-b2h.pages.dev/workers-ai/models/bge-m3/batch-output.json "Open") [ ](https://edgetunnel-b2h.pages.dev/workers-ai/models/bge-m3/batch-output.json "Download")

```json
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```