Explore vector search technology and its practical applications in this 44-minute conference talk from All Things Open 2024. Discover how vector search enhances contextual search capabilities across various applications, using a movie recommendation system as a practical example. Learn the process of converting text into numerical vector representations and navigating multidimensional spaces to find similarities between items. Gain hands-on experience with different data solutions including ClickHouse, OpenSearch, and PGVector while exploring various AI models for text-to-vector conversion. Master both local model implementation and free inference APIs through multiple demonstrations and coding examples. Perfect for those interested in contextual search and AI implementation but seeking a clear path through technical complexities.