The Leanpub 60 Day 100% Happiness Guarantee
Within 60 days of purchase you can get a 100% refund on any Leanpub purchase, in two clicks.
See full terms...
Databricks for Practitioners: Volume 2
The AI Lakehouse and Agentic Playbook: Analytics, Mosaic AI, Agents, and Lakebase
RAG, Agent Bricks, the Multi-Agent Supervisor with MCP, Lakebase, MLflow 3, Lakehouse Monitoring, Feature Store, Vector Search. Every AI surface Databricks shipped at GA in 2025 and 2026, taught by a practitioner, current to 2026. What you will learn - Build RAG pipelines with Vector Search, embedding models, and citation grounding - Ship Agent Bricks for classification and information extraction…
Minimum price
$19.00
$24.00
You pay
Author earns
PDF
About
About the Book
The complete production AI playbook for Databricks.
RAG. Agent Bricks. Multi-agent supervisors. Lakebase. Feature Store. MLflow 3.
Lakehouse Monitoring. Foundation Model APIs. Vector Search. AI Gateway. Every
AI surface Databricks shipped at GA in 2025-2026, taught by a senior
practitioner, current to 2026.
Key Features
- RAG end to end with Vector Search, embedding models, hybrid retrieval, and citation grounding
- Agent Bricks + Multi-Agent Supervisor + MCP with the eval loop that catches routing failures before production
- Lakebase: operational Postgres at sub-10ms reads, the layer that turns AI models and agents into user-facing apps
- Full ML lifecycle: Feature Store, MLflow 3, Lakehouse Monitoring, AI Gateway
AI on Databricks went from research project to production platform in 2025-2026. Foundation Model APIs, Vector Search, Agent Bricks, the Multi-Agent Supervisor, MLflow 3, Lakehouse Monitoring, and Lakebase all shipped at GA. Volume 4 is the book that uses them together.
It walks the full Mosaic AI surface. Model Serving for production inference. Foundation Model APIs for prebuilt frontier models. Vector Search and Retrieval-Augmented Generation for grounding AI in your own data. MLflow 3 and the UC Model Registry for the experiment-to-production lifecycle. Feature Store for features that bridge offline training and online serving.
The agentic chapters are the center piece. Agent Bricks ships declarative single-agent systems (classification, information extraction) without writing prompts. The Multi-Agent Supervisor orchestrates specialists, Genie spaces, custom agents, Agent Brick children, external tools via the Model Context Protocol, with the eval loop that catches wrong routing, tool hallucination,
and unbounded recursion before production.
Lakebase, the operational Postgres shipped with Databricks in 2026, gives AI apps the sub-ten-millisecond reads they need to serve users, the layer that turns models and agents into real products. Lakehouse Monitoring catches the quiet drift that destroys ML systems while every dashboard stays green. The capstone wires Lakebase, the agents, and the analytics into a
full retail intelligence app. Azure examples; concepts apply on AWS and GCP.
Feedback
Bundle
Bundles that include this book
- Pricing
$70.00
Minimum priceBought separately$96.00Suggested price$80.00
Author
About the Author
Ritesh Modi
Ritesh Modi is Head of AI at MarketOnce and a former Forward Deployed Engineer at Microsoft. He has spent more than a decade building and shipping production systems across cloud, distributed computing, and applied machine learning, working with organizations ranging from global enterprises to fast-moving startups. His recent work focuses on applied large language models, designing systems that turn pretrained models into reliable, task-specific tools.
Ritesh has authored multiple technology books and speaks regularly at industry conferences on AI, cloud architecture, and software engineering. His writing philosophy rests on a simple belief: the best technical books are written by practitioners who still remember what it felt like to not understand something, not by experts who have forgotten. Every explanation in this book was tested against that standard, if it would not have made sense to him when he was first learning this material, it was rewritten until it did.
He writes, shares ideas, and connects with readers at www.riteshmodi.com. When he is not writing or building AI systems, he can be found mentoring engineers, exploring new architectures, or debugging a training run that should have converged three hours ago.
Earn $8 on a $10 Purchase, and $16 on a $20 Purchase
We pay 80% royalties on purchases of $7.99 or more, and 80% royalties minus a 50 cent flat fee on purchases between $0.99 and $7.98. You earn $8 on a $10 sale, and $16 on a $20 sale. So, if we sell 5000 non-refunded copies of your book for $20, you'll earn $80,000.
(Yes, some authors have already earned much more than that on Leanpub.)
In fact, authors have earned over $15 million writing, publishing and selling on Leanpub.
Learn more about writing on Leanpub
Free Updates. DRM Free.
If you buy a Leanpub book, you get free updates for as long as the author updates the book! Many authors use Leanpub to publish their books in-progress, while they are writing them. All readers get free updates, regardless of when they bought the book or how much they paid (including free).
Most Leanpub books are available in PDF (for computers) and EPUB (for phones, tablets and Kindle). The formats that a book includes are shown at the top right corner of this page.
Finally, Leanpub books don't have any DRM copy-protection nonsense, so you can easily read them on any supported device.
Learn more about Leanpub's ebook formats and where to read them
Write and Publish on Leanpub
You can use Leanpub to easily write, publish and sell in-progress and completed ebooks and online courses!
Leanpub is a powerful platform for serious authors, combining a simple, elegant writing and publishing workflow with a store focused on selling in-progress ebooks.
Leanpub is a magical typewriter for authors: just write in plain text, and to publish your ebook, just click a button. (Or, if you are producing your ebook your own way, you can even upload your own PDF and/or EPUB files and then publish with one click!) It really is that easy.