Retrieval-Augmented Generation

By: Oketunji, Finbarrs

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.

• Format: Paperback
• Language: English
• ISBN: B0DLKJ9XP8
• ISBN13: 9798344993683
• Release Date: October 2024
• Publisher: Independently Published
• Length: 332 Pages
• Weight: 2.35 lbs.
• Dimensions: 0.9" x 8.5" x 11.0"