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Retrieval-Augmented Generation
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
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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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