AWS Bedrock

Updated on 23 Aug 2024
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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 the AWS Bedrock Module Add a dependency to Bedrock. Configure the AWS settings.

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.

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.

Available Steps

Following is the list of steps available after installing the module.

Step Name	Description
Get AI Prediction	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	This step will convert the Text into Vector representations. For more information, refer to Embeddings.

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