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AI-Powered Search
Great search is all about delivering the right results. Today’s search engines are expected to be smart, understanding the nuances of natural language queries, as well as each user’s preferences and context. AI-Powered Search teaches you the latest machine learning techniques to create search engines that continuously learn from your users and your content, to drive more domain-aware and intelligent search. Written by Trey Grainger, the Chief Algorithms Officer at Lucidworks, this authoritative book empowers you to create and deploy search engines that take advantage of user interactions and the hidden semantic relationships in your content to constantly get smarter and automatically deliver better, more relevant search experiences.
325 pages, Paperback
Published September 1, 2019
15 people are currently reading
78 people want to read
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Displaying 1 - 10 of 10 reviews
February 8, 2025
After reading AI Powered Search by Trey Grainger, Doug Turnbull, and Max Irwin, I found it to be an insightful exploration of how AI is shaping modern search technology. The book explains key concepts like natural language processing, ranking models, and retrieval-augmented generation, showing how these techniques improve search relevance and personalization. The authors do a good job of balancing theory with practical applications, making complex ideas more approachable.
What stood out to me was the depth of coverage on user intent, knowledge graphs, and search optimization. The discussions on learning-to-rank models and signals-based improvements were particularly interesting, as they provided real-world strategies for refining search results. However, some sections, especially those focused on deep learning and advanced ranking models, felt dense. While I could follow along, I think beginners might find certain parts challenging without prior exposure to AI concepts. More hands-on examples could have made these topics more accessible.
Overall, I found AI Powered Search to be a valuable resource for understanding how AI enhances search engines. It’s well-structured and informative, though best suited for those with some background in AI or search technology.
What stood out to me was the depth of coverage on user intent, knowledge graphs, and search optimization. The discussions on learning-to-rank models and signals-based improvements were particularly interesting, as they provided real-world strategies for refining search results. However, some sections, especially those focused on deep learning and advanced ranking models, felt dense. While I could follow along, I think beginners might find certain parts challenging without prior exposure to AI concepts. More hands-on examples could have made these topics more accessible.
Overall, I found AI Powered Search to be a valuable resource for understanding how AI enhances search engines. It’s well-structured and informative, though best suited for those with some background in AI or search technology.
February 8, 2024
This book hasn't been published yet but you can read a draft version through Manning's Early Access Program (MEAP).
The book has a lot of minor issues at this moment - grammar and spelling, mismatched cross-references, etc. It also has some wordy content which feels like filler and some redundant content that occurs across chapters.
I anticipate all of this will be cleaned up before the published edition this summer.
In any case, it covers a lot of ground. There is room for improvement (which I hope to see), but I don't see any other books on the horizon or published in recent history that can compete with it.
One surprising note is that it uses Apache Solr rather than ElasticSearch/OpenSearch. This isn't too surprising since Grainger co-authored the book on Solr back in the day, but a bit surprising as ElasticSearch tends to have the buzz these days.
The book has a lot of minor issues at this moment - grammar and spelling, mismatched cross-references, etc. It also has some wordy content which feels like filler and some redundant content that occurs across chapters.
I anticipate all of this will be cleaned up before the published edition this summer.
In any case, it covers a lot of ground. There is room for improvement (which I hope to see), but I don't see any other books on the horizon or published in recent history that can compete with it.
One surprising note is that it uses Apache Solr rather than ElasticSearch/OpenSearch. This isn't too surprising since Grainger co-authored the book on Solr back in the day, but a bit surprising as ElasticSearch tends to have the buzz these days.
February 28, 2025
A great read and a must have desktop reference for anyone in the search, recommendations, ecommerce, digital marketing business. This book teaches the 'why' behind the search - results, relevance and personalization.
This book helps both the engineers building the product and digital marketers to understand how search works in the modern day and to customize their keywords, targeting and other parameters.
Overall a good book.
This book helps both the engineers building the product and digital marketers to understand how search works in the modern day and to customize their keywords, targeting and other parameters.
Overall a good book.
November 7, 2022
The book provides a comprehensive description of the latest applied methods used in the industry. If the book "Relevant Search" teaches you the basics for term matching relevancy, this book goes beyond to the area of using neural models for search, as well as how to use them in different search application e.g. Autocomplete.
December 26, 2023
Good overview of ML-based approaches to improve search quality. One big selling points is that book was updated to include latest developments in area of LLMs, and how they could be applied to search-related stuff.
P.S. I was technical proofreader for this book, and read the prerelease version, not final one.
P.S. I was technical proofreader for this book, and read the prerelease version, not final one.
February 13, 2025
While it was still in early release when I read it, it is clear that the authors are not only experts in their field but are also excellent authors. The book is a must-read for anyone working in search and interested in taking it to the next level.
January 29, 2025
Great book for AI developers. I have reviewed this book for manning. Great read.
May 8, 2025
A cool item for anyone who wants to learn the basics as well as advanced data retrieval techniques.
Lots of code examples which makes it impossible to listen to it as an audiobook.
Lots of code examples which makes it impossible to listen to it as an audiobook.
May 13, 2025
Great high level overview of different components involved in search and how can you optimize each one of them. Not so great if you are looking to go deep in any particular technology
July 14, 2025
pretty high level, does not get very technical. maybe i was not the target audience.
Displaying 1 - 10 of 10 reviews