RAG and the MongoDB Document Model - Building Scalable AI Applications with Vector Search

Explore cutting-edge techniques for Retrieval Augmented Generation with MongoDB in this 13-minute conference talk from the AI Engineer World's Fair. Learn to leverage Vector Search, specifically Atlas Vector Search, over MongoDB data to improve information retrieval and generation processes. Discover how to build a RAG system using a Parent Child Retrieval Strategy to enable more efficient and accurate retrieval of relevant information, all implemented within the MongoDB document model rather than relying on application layer relationships. Understand the concept of Search Nodes which enable serving vector search workloads at scale. Gain practical insights into combining Retrieval Augmented Generation, Vector Search, and MongoDB to build innovative and scalable AI-powered applications, presented by MongoDB's Director of Product Ben Flast who specializes in Search, Vector Search, and AI integrations.