---
title: "AWS Bedrock"
slug: "ai-aws-bedrock"
updated: 2026-07-13T17:38:37Z
published: 2026-07-13T17:38:37Z
canonical: "documentation.decisions.com/ai-aws-bedrock"
---

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

# AWS Bedrock

| ## Module Details |
| --- |
| **Core or GitHub Module** | Core Module |
| **Steps Exposed** | Yes |
| **Step Location** | AI > AWS Bedrock |
| **Settings Location** | N/A |
| **Prerequisites** | - Active AWS Account - [Install](https://documentation.decisions.com/v8/docs/installing-modules-decisions) the AWS Bedrock Module - Add a [dependency](https://documentation.decisions.com/version-10/docs/project-dependencies) to Bedrock. - Configure the [AWS settings](https://documentation.decisions.com/version-10/docs/setting-up-amazon-webservices-integration). |

## Overview

AWS Bedrock is an AWS service with access to several large language models (LLM) and options to train custom data sets and build their own generative AI applications.

This module can be used to add AWS Bedrock capabilities to the Decisions Flows and Rules.

Note for Third-Party Systems and SubscriptionsCustomers are responsible for securing and maintaining accounts with third-party systems and subscriptions.

---

## Configuration/Properties

Installing the AWS Bedrock Module also installs the AWS module and the AI.common module within the portal. Installing the module populates two steps in the Flow Designer. Users who wish to use Amazon Bedrock must also have the correct permissions in AWS IAM for the Access Key and Secret Access Key.

At the Project level, there are no settings to be configured.

---

## User Action on AWS settings

Installing the module exposes a new user action on the Amazon Webservices Settings: **Reload AWS Bedrock Model Names**. There are no further settings under Amazon WebServices Settings related to configuring the module.

Navigate to the **System** > **Settings** > Right-click on the Amazon WebServices Settings > **Reload AWS Bedrock Model Names**. This will retrieve the information about the custom models saved in the Amazon Bedrock.

![](https://cdn.document360.io/6ef8bcc1-6489-4486-9ad1-83acff7e5df0/Images/Documentation/image-1783007667426.png)

---

## Available Steps

Below is a list of steps available after installing the module. In v9.12 and above, each Step has a property called "Override Prediction Parameters" that allows parameters to be tailored to the model being used.

| Step Name | Description |
| --- | --- |
| [Get AI Prediction](https://documentation.decisions.com/step-library/docs/get-ai-prediction-1) | This step generates an AI prediction based on the prompts given to it. Any input provided will be used to make a prediction using an AI algorithm. |
| [Get Embedding for Text](https://documentation.decisions.com/step-library/docs/get-embedding-for-text-1) | This step will convert the Text into Vector representations. For more information, refer to [Embeddings](https://docs.aws.amazon.com/bedrock/latest/userguide/embeddings.html). |

---

## Feature Changes

| Description | Version | Release Date | Developer Task |
| --- | --- | --- | --- |
| Added properties to each step to customize parameters. | [9.12](https://documentation.decisions.com/v99/docs/version-912x-release-notes) | June 2025 | [DT-044657] |