This video from AWS re:Invent 2023 explores how to improve generative AI applications using Retrieval Augmented Generation (RAG) with Amazon Bedrock. The presenters, Ruhaab Markas and Mani Khanuja, discuss the importance of customizing foundation models and dive deep into RAG techniques. They explain how Knowledge Bases for Amazon Bedrock simplifies the implementation of RAG by automating data ingestion, retrieval, and prompt augmentation. The session covers various components of RAG, including data ingestion workflows, embeddings, and vector databases. The speakers demonstrate how to use Knowledge Bases through the AWS console and APIs, showcasing its integration with LangChain for building RAG applications. They also touch on how Knowledge Bases can work with Agents for Amazon Bedrock to handle real-time data and API interactions. This comprehensive presentation provides valuable insights for developers and architects looking to enhance their AI applications with company-specific data using RAG techniques.