Vectoring Into The Future: AWS Empowered RAG Systems for LLMs

Explore the future of AWS-empowered RAG systems for Large Language Models in this conference talk from Conf42 LLMs 2024. Dive into the world of foundation models, generative AI use cases, and AWS's extensive generative AI capabilities. Discover the limitations of LLMs and learn about vector embeddings and databases. Gain insights into enabling vector search across AWS services, including Amazon Aurora, OpenSearch, DocumentDB, MemoryDB, and Neptune Analytics. Understand the power of Amazon Bedrock, its knowledge bases, and vector databases. Witness a live demonstration of the Retrieve and Generate API, showcasing practical applications of these cutting-edge technologies in action.