Learn how to build an intelligent search system by combining BigQuery ML's K-means clustering with Large Language Models. This comprehensive guide walks through the complete process—from setting up external connections to generating embeddings and creating meaningful cluster labels. While the solution offers good scalability and configurability, we'll explore both its technical implementation and practical limitations. Ideal for data engineers and analysts looking to implement automated search query categorization in BigQuery, with a focus on achievable, production-ready results.