AWS Bedrock
- 06 Mar 2024
- 1 Minute to read
- Print
- DarkLight
AWS Bedrock
- Updated on 06 Mar 2024
- 1 Minute to read
- Print
- DarkLight
Article summary
Did you find this summary helpful?
Thank you for your feedback
Module Details | |
| Core or Github Module | Core Module |
| Steps Exposed | Yes |
| Step Location | AI > AWS Bedrock |
| Settings Location | N/A |
| Prerequisites |
|
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.
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. |
Was this article helpful?
