By attending this session, you'll learn how to:
Customize end-to-end—override chunk sizes, embedding models, ranking weights, and more.
Query structured data—ask natural-language questions over your tables and get row-level citations.
Debug with transparency—inspect retrieval scores, traces, and explainers in real time.
Ship to production—clone the notebook, swap in your data, and deploy advanced semantic + SQL search inside your existing workflows—no external vector store or ML ops needed.
Speakers

Andriy Burkov, Ph.D.
Author, The Hundred‑Page Machine Learning Book & The Hundred‑Page Language Models Book
Andriy is a 20‑year machine‑learning veteran who has led dozens of AI projects at Gartner, Fujitsu and TalentNeuron.

Alejandro Cantu
AI Product Manager, MindsDB
Alejandro drives product strategy that helps organizations connect AI to existing data for real‑time insights, drawing on prior experience at Google and as a tech founder.