Amazon Bedrock ↗

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.

export const Callout = ({title, children}) =>

{title && <p className="block mb-2"><strong>{title}</strong></p>}
{children}

;

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

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.

Visit Amazon Bedrock documentation for more information on available models and configuration.