Search Engines and RAG in AI: Boost Model Accuracy with Next-Gen Retrieval Methods
by Jesse Rubin
Search Engines and RAG in AI examines the role of search engines and retrieval-augmented generation in improving AI model accuracy. Centered on next-generation retrieval methods, this book provides a focused introduction for readers exploring modern approaches to artificial intelligence and information retrieval.
About This Book
Search Engines and RAG in AI introduces the relationship between search technologies and retrieval-augmented generation.
The book focuses on next-generation retrieval methods for improving the accuracy of AI models.
It offers an accessible topic-centered resource for readers interested in artificial intelligence, information retrieval, and model performance.
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