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