About this talk
In this talk, Alejandro Duarte explores the fundamentals of AI vector search and its significance in modern retrieval systems. The session delves into vector embeddings, explaining how they represent meaning and outperform traditional keyword matching in various contexts. Attendees learn about the processes involved in storing, indexing, and comparing vectors within a database, as well as how this technology enables queries to be answered based on intent rather than exact terms. By the end of the session, participants will have a comprehensive understanding of semantic search concepts and their practical applications in real-world systems.
