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

# AWS Bedrock

> AWS Bedrock provides a fully managed service that offers a choice of high-performing foundation models from leading AI companies through a single API.

## 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                      |

Note: AWS Bedrock may add or update models over time. Check the AWS Bedrock documentation for the most up-to-date list of available models.

## 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

<Steps>
  <Step title="Access the Integrations Page">
    <img src="https://mintcdn.com/rapidaai/iFtJHOhZE0HHFT_Q/images/integration/providers/providers-and-models.png?fit=max&auto=format&n=iFtJHOhZE0HHFT_Q&q=85&s=1aa112ebaf44541a92bcac925df62cf8" alt="Integrations Page" width="3600" height="2024" data-path="images/integration/providers/providers-and-models.png" />

    Navigate to the "Integration > Models" page. Here you'll see a grid of various AI model providers including AWS Bedrock, Azure OpenAI, Anthropic, Cohere, OpenAI, and more.
  </Step>

  <Step title="Select AWS Bedrock">
    On the Integrations page, find the AWS Bedrock provider card.

    Click the "Setup Credential" button for AWS Bedrock.
  </Step>

  <Step title="Create Provider Credential">
    <img src="https://mintcdn.com/rapidaai/iFtJHOhZE0HHFT_Q/images/integration/providers/create-provider-credential.png?fit=max&auto=format&n=iFtJHOhZE0HHFT_Q&q=85&s=8f0baf14a7fe214feca1e74a6ca74df2" alt="Create Provider Credential" width="3596" height="2024" data-path="images/integration/providers/create-provider-credential.png" />

    A modal window will appear titled "Create provider credential". Follow these steps:

    1. Select "AWS Bedrock" from the dropdown (if not already selected)
    2. Enter a Key Name: Assign a unique name to this provider key for easy identification
    3. Enter the AWS Access Key ID: Input your AWS access key ID
    4. Enter the AWS Secret Access Key: Input your AWS secret access key
    5. Select the AWS Region: Choose the region where you want to use Bedrock
    6. Click "Configure" to save the credential
  </Step>

  <Step title="Verify Credential Setup">
    <img src="https://mintcdn.com/rapidaai/iFtJHOhZE0HHFT_Q/images/integration/providers/view-provider-credential.png?fit=max&auto=format&n=iFtJHOhZE0HHFT_Q&q=85&s=abde091cab8e55e8459805bfa543cb6c" alt="View Provider Credential" width="3600" height="2026" data-path="images/integration/providers/view-provider-credential.png" />

    After setting up the credential, you can verify it's been added:

    1. The AWS Bedrock provider card should now show "Connected"
    2. If you click on the provider, you'll see a "View provider credential" modal
    3. This modal displays the credential name, when it was last updated, and options to delete or close
  </Step>
</Steps>

Your AWS Bedrock provider credential is now set up and ready to use with the integration system.