In this AWS re:Invent 2023 talk, the speaker discusses Retrieval Augmented Generation (RAG) and its implementation using Redis Enterprise as a vector database with Amazon Bedrock. The presentation covers challenges in building RAG systems, data strategy, and the benefits of using Redis for vector search and semantic caching. The speaker explains how RAG can address issues like cost, quality, performance, and security in large language model applications. Key topics include vector databases, semantic caching, and the integration of Redis with Amazon Bedrock for efficient RAG implementations. The talk provides insights into optimizing LLM-based systems for improved performance and reduced costs.