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Quick start for GenAI

Contributors netapp-tonacki netapp-bcammett netapp-mwallis
PDFs

Get started creating a knowledge base using your organization's data that exists on Amazon FSx for NetApp ONTAP file systems. An application such as a chatbot will access this knowledge base to provide organization-focused responses to end users.

One Log in to workload factory

You'll need to set up an account with workload factory and log in using one of the console experiences.

Two Set up your environment to meet GenAI requirements

You'll need AWS credentials to deploy the AWS infrastructure, a deployed and discovered FSx for ONTAP file system, the list of data sources that you want to integrate in your knowledge base, access to the Amazon Bedrock AI service, and more.

Learn more about GenAI requirements.

Three Identify the FSx for ONTAP file system that contains the data sources

The data sources that you'll integrate in your knowledge base can be located on a single FSx for ONTAP file system, or on multiple FSx for ONTAP file systems. These systems can be in different VPCs, but they must be accessible within the same network.

Learn how to identify data sources.

Four Deploy the knowledge base infrastructure

Launch the infrastructure deployment wizard to deploy the knowledge base infrastructure in your AWS environment. This process deploys an EC2 instance for the NetApp GenAI engine, and a volume on an FSx for ONTAP file system to contain the NetApp AI Engine databases. The volume is used to store the vector database used by the knowledge base.

Learn how to deploy the knowledge base infrastructure.

What's next

You can now build a knowledge base to provide organization-focused responses to end users.