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Published October 30, 2024 | Version 1.0.0
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Retrieval-Augmented Generation

Authors/Creators

  • 1. ROR icon University of Oxford

Description

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.

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