Getting Started
To integrate AWS Bedrock with your Rapida application, follow these steps:Supported Models
AWS Bedrock offers several advanced language models that can be used with this integration. Here’s a table of some supported models:| Model Name | Provider | Description |
|---|---|---|
| ai21.jamba-instruct-v1:0 | AI21 Labs | Instruct model for various NLP tasks |
| anthropic.claude-v2:1 | Anthropic | Latest Claude v2 model with advanced capabilities |
| anthropic.claude-v2 | Anthropic | Claude v2 model for general language tasks |
| anthropic.claude-instant-v1 | Anthropic | Faster, more efficient Claude model |
| anthropic.claude-instant-v1:2 | Anthropic | Updated version of Claude Instant |
| anthropic.claude-v2:0 | Anthropic | Initial release of Claude v2 |
Prerequisites
- Have an AWS account with access to AWS Bedrock.
- Set up your AWS credentials and permissions to use Bedrock.
- Ensure you have the necessary IAM permissions to access Bedrock and its models.
Setting Up Provider Credentials
Access the Integrations Page

Select AWS Bedrock
On the Integrations page, find the AWS Bedrock provider card.Click the “Setup Credential” button for AWS Bedrock.
Create Provider Credential

- Select “AWS Bedrock” from the dropdown (if not already selected)
- Enter a Key Name: Assign a unique name to this provider key for easy identification
- Enter the AWS Access Key ID: Input your AWS access key ID
- Enter the AWS Secret Access Key: Input your AWS secret access key
- Select the AWS Region: Choose the region where you want to use Bedrock
- Click “Configure” to save the credential
Verify Credential Setup

- The AWS Bedrock provider card should now show “Connected”
- If you click on the provider, you’ll see a “View provider credential” modal
- This modal displays the credential name, when it was last updated, and options to delete or close