AI-Powered Search: How to Unlock Your Drupal Site Data

Unlock the potential of your Drupal site with AI-powered search. This session delves into how artificial intelligence can revolutionize search functionality by transforming traditional keyword-based methods into intelligent, context-aware experiences. We'll explore the concepts behind embeddings—how data is converted into a machine-readable format for semantic search—and discuss the role of vector databases in managing and retrieving this data.

You'll also learn how to configure the Drupal Search API to vectorize your site's content, paving the way for enhanced search relevance and user experience. This session is suitable for all levels, as we will explain each step in detail and provide an overall understanding of how AI-enhanced search works. Whether you're a developer, technical architect, or site owner, you'll gain the foundational knowledge to modernize search on Drupal websites using cutting-edge AI technologies.

What You’ll Learn:

- How Embeddings Work: Discover the concept of embeddings, how they represent data, and the role dimensions play in improving search accuracy.

- Understanding Vector Databases: Learn what vector databases are, their purpose in AI-enhanced search, and how they manage and retrieve vectorized data.

- Preparing The Drupal Data: Understand how to configure the Drupal Search API to transform your site’s content into vectorized data for semantic search.