Using Amazon Titan Text Embeddings V2 on AWS Bedrock
Implementation guide · Titan · Amazon Web Services (AWS) AI
Serverless
AWS Bedrock exposes Amazon Titan Text Embeddings V2 through model ID amazon.titan-embed-text-v2:0. Use the setup steps, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-10-12. Next refresh: weekly.
Quick Start
- 1
- 2Use the AWS Bedrock SDK or REST API to call
amazon.titan-embed-text-v2:0— see the documentation for request format.
Code Examples
Install
pip install boto3API key
AWS_ACCESS_KEY_IDModel ID
amazon.titan-embed-text-v2:0Use Amazon Bedrock model IDs, e.g. "anthropic.claude-3-opus-20240229-v1:0" for on-demand, or cross-region inference profile IDs like "us.anthropic.claude-opus-4-7-20251101-v1:0". These differ from the public model slug.
import boto3
# Reads AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION from env
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
modelId="amazon.titan-embed-text-v2:0",
messages=[{
"role": "user",
"content": [{"text": "Hello"}]
}]
)
print(response["output"]["message"]["content"][0]["text"])Capabilities
No model capability flags are currently sourced.
About Amazon Titan Text Embeddings V2
Amazon Titan Text Embeddings V2 is Amazon's Titan model. It was released 2024-01-01.
Model Specs
Released2024-01-01