Watch a 33-minute Vector Space Talk featuring Nick Khami, Founder-Engineer at Trieve, demonstrating practical techniques for implementing vector search and Retrieval-Augmented Generation (RAG) capabilities over OpenAPI specifications. Learn how to leverage Large Language Models for generating improved code embeddings through summarization, and discover methods for efficiently storing UI-relevant data within point metadata for streamlined interface development. Gain insights from Nick's extensive experience building vector search and RAG applications since Qdrant v0.11.0, and explore the journey that led to founding Trieve, a company focused on helping businesses implement cutting-edge vector search and RAG solutions. Delve into topics including OpenAPI specifications, search UI implementation, analytics integration, and receive valuable recommendations for working with vector databases.