Build generative AI applications with Amazon Aurora and Amazon Bedrock Knowledge Bases
Database Blog
This article discusses how to build generative AI applications using Amazon Aurora and Amazon Bedrock Knowledge Bases. It provides a detailed walkthrough on setting up Aurora PostgreSQL as a knowledge base for Amazon Bedrock and using it for Retrieval Augmented Generation (RAG) with foundational models.
Specifically, the article covers:
- Overview of the RAG workflow and Amazon Bedrock Knowledge Bases
- Prerequisites for the example
- Setting up an Aurora PostgreSQL cluster as a knowledge base
- Creating a secret in AWS Secrets Manager for the Aurora cluster
- Creating a knowledge base in Amazon Bedrock using the Aurora cluster
- Generating vector embeddings directly from the Aurora cluster using Amazon Bedrock
- Clean-up instructions for the resources created
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