AI-Powered Search MEAP V02 cover


Thanks for purchasing the MEAP for AI-powered Search!

This book is designed give you the knowledge and skills you need to deliver a highly-relevant search application that is able to automatically become more intelligent through continuous feedback loops that learn from every content update and user interaction.

As you can imagine given that goal, this is not an “introduction to search” book. In order to get the most out of this book, you should already be familiar with the core capabilities of modern search engines (inverted indices, relevance ranking, faceting, query parsing, text analysis, and so on) through experience with a technology like Apache Solr, Elasticsearch, or Apache Lucene. If you need to come up to speed quickly, Solr in Action (which I also previously wrote) will provide you with all the search background necessary to enable you to dive head-first into AI-powered Search.

Additionally, most of the examples in this book will be in Python or Javascript. You do not need to be an expert in either of these languages, but you should have some programming experience and be able to read and understand the examples.



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