This talk dives into the world of vector databases, providing a concise overview of their fundamental concepts, growing importance, and practical application Attendees will: - Gain a clear understanding of what vector databases are and how they differ from traditional relational databases - Discover the reasons behind their increasing popularity, driven by the need for efficient storage and retrieval of high-dimensional data in fields such as AI, machine learning, and advanced analytics. - Explore some architectural considerations, indexing strategies, and data modelling techniques that enable effective usage of vector databases. - Uncover the potential connection between vector databases and large language models, such as OpenAI’s ChatGPT, and how their integration can enhance natural language understanding and generation. By the end of this presentation, attendees will be equipped with valuable insights into leveraging vector databases to unlock new frontiers in data-driven applications, powering the next generation of AI applications with advanced and high-performant vector similarity search technology and stay ahead in this era of industrial revolution.