> ## Documentation Index
> Fetch the complete documentation index at: https://docs.trychroma.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Amazon Bedrock

export const Callout = ({title, children}) => <div className="my-6">
    <div className="relative pr-1.5 pb-1.5">
      <div className="absolute top-1.5 left-1.5 right-0 bottom-0 bg-blue-500 dark:bg-blue-600" />
      <div className="relative border border-black dark:border-gray-500 px-5 py-4 bg-white dark:bg-neutral-900">
        {title && <p className="block mb-2"><strong>{title}</strong></p>}
        {children}
      </div>
    </div>
  </div>;

This embedding function relies on the boto3 python package, which you can install with pip install boto3.

```python Python theme={null}
import boto3
from chromadb.utils.embedding_functions import AmazonBedrockEmbeddingFunction

session = boto3.Session(profile_name="profile", region_name="us-east-1")
bedrock_ef = AmazonBedrockEmbeddingFunction(
    session=session,
    model_name="amazon.titan-embed-text-v1"
)

texts = ["Hello, world!", "How are you?"]
embeddings = bedrock_ef(texts)
```

You can pass in an optional model\_name argument, which lets you choose which Amazon Bedrock embedding model to use. By default, Chroma uses amazon.titan-embed-text-v1.

<Callout>
  Visit Amazon Bedrock [documentation](https://docs.aws.amazon.com/bedrock/) for more information on available models and configuration.
</Callout>