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Retrieval-Augmented Generation|Finbarrs Oketunji

Retrieval-Augmented Generation

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Overview

Experience the future of AI-powered information retrieval with this handbook to Retrieval-Augmented Generation (RAG). The book provides you with strategies for building secured and scalable RAG systems. Master cutting-edge techniques in query segmentation, embedding optimisation, and real-time streaming while learning from practical examples and general-purpose algorithms.

This item is Non-Returnable

Details

  • ISBN-13: 9798344993683
  • ISBN-10: 9798344993683
  • Publisher: Independently Published
  • Publish Date: October 2024
  • Dimensions: 11 x 8.5 x 1.02 inches
  • Shipping Weight: 2.77 pounds
  • Page Count: 392

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