Using Aurora as a Knowledge Base for Amazon Bedrock - Retrieval-Augmented Generation

Learn how to implement retrieval-augmented generation (RAG) by setting up a knowledge base in Amazon Aurora for Amazon Bedrock in this 59-minute technical video from AWS Events. Discover the process of creating an efficient pipeline that seamlessly integrates document data into an Aurora database, enabling the development of generative AI applications that leverage existing data. Master the implementation of vector search, embeddings, and knowledge base integration while exploring practical applications using tools like pgvector and LangChain. Gain hands-on insights into building a comprehensive data pipeline that combines the power of Amazon Aurora PostgreSQL with Amazon Bedrock's capabilities for enhanced AI-driven solutions.