In this session, you will learn the fundamental concepts of vector databases. You will explore what vector databases are, how they differ from traditional relational databases, and why they are becoming increasingly important in handling high-dimensional data. Buck will also discuss the underlying mathematical principles, such as vector space and similarity search algorithms, that make these databases so powerful.

Buck will introduce and demonstrate various tools used to interact with vector databases. This includes popular open-source vector database systems, query languages, and data visualization tools. He will also provide hands-on examples and tutorials on how to use these tools effectively.

You'll also learn real-world applications of vector databases in various fields such as machine learning, data analysis, and information retrieval. Buck will present case studies that highlight the benefits of using vector databases in these applications.

By attending this session, participants can expect the following outcomes:

1. Gain a solid understanding of the fundamental concepts of vector databases and their advantages over traditional databases.
2. Become proficient** in using various tools to interact with vector databases, which will be beneficial in their data-related tasks.
3. Understand the practical applications of vector databases in various fields, providing them with insights on how to leverage vector databases in their own projects.

This session is designed to equip attendees with the knowledge and skills to effectively use vector databases, enhancing data management and analysis capabilities in general use and in assisting in Generative AI.