In this session, we walked through building a knowledge base using Amazon Bedrock and AWS CloudFormation. The goal was to set up the necessary infrastructure to load custom source data, such as blog posts, into a knowledge base and test querying capabilities.

The session covered creating an IAM role and managed policy for Bedrock using CloudFormation YAML templates, setting up the S3 bucket, and attempting to define the OpenSearch Serverless Collection with an encryption policy.

While progress was made in provisioning the initial resources, the session encountered challenges with tagging policies and validating the OpenSearch encryption policy definition. The expert planned to resolve these issues before the next session, where they would ingest source data, configure the knowledge base, set up syncing between S3 and OpenSearch, and ultimately test querying the knowledge base.

Key Takeways

• Bedrock simplifies setting up knowledge bases by handling embedding, vector storage, and querying
• CloudFormation enables infrastructure-as-code for provisioning AWS resources
• IAM roles and policies are critical for secure access between AWS services
• OpenSearch Serverless provides a managed vector database solution

AWS Services used during the episode

• Amazon Bedrock
• AWS CloudFormation
• Amazon S3
• Amazon OpenSearch Serverless
• AWS IAM