Hands-On RAG for Production
Design, Develop, and Deploy Production-Ready RAG Applications
$113.96
- Paperback
400 pages
- Release Date
12 June 2026
Summary
Retrieval-augmented generation (RAG) is the go-to strategy for integrating large language models with your organization’s unique knowledge. However, the market is full of RAG pipelines and components, making it hard to choose the right solution for your enterprise’s needs. This book simplifies the process, offering a comprehensive road map to building, refining, and scaling production-grade RAG applications.
Authors Ofer Mendelevitch and Forrest Bao guide you through every phase of de…
Book Details
| ISBN-13: | 9798341621718 |
|---|---|
| Author: | Ofer Mendelevitch, Forrest Bao |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 400 |
| Release Date: | 12 June 2026 |
| Dimensions: | 178mm x 232mm |
Ofer Mendelevitch
Ofer Mendelevitch leads developer relations at Vectara. He has extensive hands-on experience in machine learning, data science, and big data systems across multiple industries, and has focused on developing products using large language models since 2019. Prior to Vectara, he built and led data science teams at Syntegra, Helix, Lendup, Hortonworks, and Yahoo!. Ofer holds a B.Sc. in computer science from Technion and an M.Sc. in EE from Tel Aviv University, and is the author of “Practical Data Science with Hadoop” (Addison Wesley).
Forrest Sheng Bao co-leads the Machine Learning team at Vectara. He has over 10 years of research experience in the areas of Artificial Intelligence (AI) and Natural Language Processing (NLP). Prior to Vectara, he was an assistant professor at Iowa State University. Forrest holds a PhD in computer science with a minor in electrical engineering from Texas Tech University.
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