Vector Search - A Gentle Introduction - Zain Hasan

Explore the future of search technology in this 44-minute talk by Zain Hasan, Senior Developer Advocate at SeMI Technologies. Discover how ML models create semantic vectors, revolutionizing data interaction from natural language search to recommendation systems. Learn about the challenges of scaling ML models for production and implementing real-time vector search with CRUD support. Gain insights into the transition from keyword search to semantic search, understand why vector search engines are the solution to modern search problems, and explore Weaviate as a vector database. Delve into practical aspects of interacting with a Weaviate database and participate in a Q&A session to deepen your understanding of this cutting-edge technology.

- Opening
- Personal Introduction
- From Keyword Search to Semantic Search
- Vector Search Engines Are The Solution To Those Problems
- Weaviate
- How do we interact with a Weaviate Database?
- Questions