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Retrieval-Augmented Generation (TypeScript)
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: 9798345236444
- ISBN-10: 9798345236444
- Publisher: Independently Published
- Publish Date: November 2024
- Dimensions: 11 x 8.5 x 0.96 inches
- Shipping Weight: 2.62 pounds
- Page Count: 370
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