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Build a FedRAMP compliant generative AI-powered chatbot using Amazon Aurora Machine Learning and Amazon Bedrock

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This article demonstrates how to build a FedRAMP compliant generative AI-powered chatbot using Amazon Aurora Machine Learning and Amazon Bedrock.

Specifically, the article covers:

  • Overview of the solution architecture integrating Amazon S3, Aurora PostgreSQL, pgvector extension, Amazon Bedrock, and Streamlit
  • Steps to ingest documents from S3 into Aurora, create embeddings with SQL functions, and generate responses to user queries
  • Code examples for key SQL functions
  • Instructions to run the chatbot using PostgreSQL or Streamlit UI
  • Cleanup steps to delete resources
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