Fast‑Track Knowledge Bases: How to Build Semantic AI Search

Cut through the jargon and ship semantic search in minutes—not weeks. In this live, developer‑first session with Andriy Burkov and Alejandro Cantu, you’ll see how MindsDB Knowledge Bases connects your private data to powerful language models through one SQL command, no extra infrastructure required.

We’ll point a Knowledge Base at a real dataset, watch it auto‑handle chunking, embeddings, hybrid retrieval, and reranking, then fire off natural‑language questions that come back with verifiable citations. Everything runs inside your existing database workflows—no separate vector store, orchestration scripts, or machine‑learning guesswork.

Register for the webinar

Register for the webinar

Register for the webinar

Register for the webinar

Register for the webinar

Fast‑Track Knowledge Bases: How to Build Semantic AI Search

Cut through the jargon and ship semantic search in minutes—not weeks. In this live, developer‑first session with Andriy Burkov and Alejandro Cantu, you’ll see how MindsDB Knowledge Bases connects your private data to powerful language models through one SQL command, no extra infrastructure required.

We’ll point a Knowledge Base at a real dataset, watch it auto‑handle chunking, embeddings, hybrid retrieval, and reranking, then fire off natural‑language questions that come back with verifiable citations. Everything runs inside your existing database workflows—no separate vector store, orchestration scripts, or machine‑learning guesswork.

Register for the webinar

Fast‑Track Knowledge Bases: How to Build Semantic AI Search

Cut through the jargon and ship semantic search in minutes—not weeks. In this live, developer‑first session with Andriy Burkov and Alejandro Cantu, you’ll see how MindsDB Knowledge Bases connects your private data to powerful language models through one SQL command, no extra infrastructure required.

We’ll point a Knowledge Base at a real dataset, watch it auto‑handle chunking, embeddings, hybrid retrieval, and reranking, then fire off natural‑language questions that come back with verifiable citations. Everything runs inside your existing database workflows—no separate vector store, orchestration scripts, or machine‑learning guesswork.

Register for the webinar

By attending this session, you'll know how to:

  • Spin up a Knowledge Base from the IMDb dataset in one Jupyter notebook cell.

  • Peek under the hood—chunking, embeddings, retrieval—via live diagrams.

  • Ask natural‑language questions and inspect scores, citations, and traces.

  • Clone the notebook, swap in your data, and ship semantic search—no vector DB or MLOps setup required.


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.

Start Building with MindsDB Today

Power your AI strategy with the leading AI data solution.

© 2025 All rights reserved by MindsDB.

Start Building with MindsDB Today

Power your AI strategy with the leading AI data solution.

© 2025 All rights reserved by MindsDB.

Start Building with MindsDB Today

Power your AI strategy with the leading AI data solution.

© 2025 All rights reserved by MindsDB.

Start Building with MindsDB Today

Power your AI strategy with the leading AI data solution.

© 2025 All rights reserved by MindsDB.

Start Building with MindsDB Today

Power your AI strategy with the leading AI data solution.

© 2025 All rights reserved by MindsDB.

Start Building with MindsDB Today

Power your AI strategy with the leading AI data solution.

© 2025 All rights reserved by MindsDB.

Start Building with MindsDB Today

Power your AI strategy with the leading AI data solution.

© 2025 All rights reserved by MindsDB.