Elasticsearch Vector Database and RAG Capabilities - A Technical Demonstration

Watch a 26-minute technical presentation where Philipp Krenn, Director of DevRel & Developer Community at Elastic, demonstrates Elasticsearch's vector database capabilities and retrieval-augmented generation (RAG). Learn about memory optimization techniques through dimensionality reduction of vector representations and automated processes in recent Elasticsearch versions that maintain result quality while reducing memory usage. Explore the multi-stage search approach that combines coarse document retrieval with precise re-ranking methods. Discover Elasticsearch's extensive ecosystem of connectors and integrations with major cloud providers, LangChain, and Llama Index frameworks. Follow along with a live demonstration showing how to connect large language models like GPT-4 to Elasticsearch for enhanced query responses. Understand the cost-effectiveness of running queries, security considerations including data anonymization, and applications in security and observability contexts. Originally recorded at AI Field Day 5 in San Francisco on September 12, 2024.