Trey Grainger

Trey Grainger is the founder of Searchkernel, a software company and consultancy building the next generation of AI-powered search. He is also an advisor to several startups and an adjunct professor of computer science at Furman University. He previously served as CTO of Presearch, a decentralized web search engine, and as chief algorithms officer and SVP of engineering at Lucidworks, an AI-powered search company whose search technology powers hundreds of the world’s leading organizations. He is also the co-author of Solr in Action (Manning, 2014), the leading book on Apache Solr. Trey has over 17 years of experience in search and data science, including significant work developing semantic search, personalization, and recommendation systems, and building self-learning search platforms leveraging content and behavior-based reflected intelligence. This work resulted in the publication of dozens of research papers, journal articles, conference presentations, and books at the cutting edge of intelligent search systems.

books by Trey Grainger

AI-Powered Search
  • December 2024
  • ISBN 9781617296970
  • 520 pages
Included with a Manning Online subscription
  • printed in black & white

AI-Powered Search teaches you to create a search that understands natural language and improves automatically the more it is used. As you work through dozens of interesting and relevant examples, you’ll learn powerful AI-based techniques like semantic search on embeddings, question answering powered by LLMs, real-time personalization, and Retrieval Augmented Generation (RAG).

Solr in Action
  • March 2014
  • ISBN 9781617291029
  • 664 pages
Included with a Manning Online subscription
  • printed in black & white

Whether you're handling big (or small) data, managing documents, or building a website, it is important to be able to quickly search through your content and discover meaning in it. Apache Solr is your tool: a ready-to-deploy, Lucene-based, open source, full-text search engine. Solr can scale across many servers to enable real-time queries and data analytics across billions of documents.

Solr in Action teaches you to implement scalable search using Apache Solr. This easy-to-read guide balances conceptual discussions with practical examples to show you how to implement all of Solr's core capabilities. You'll master topics like text analysis, faceted search, hit highlighting, result grouping, query suggestions, multilingual search, advanced geospatial and data operations, and relevancy tuning.