Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Hugging Face for Applied Rag and LLM Systems: Building advanced retrieval-augmented generation with embeddings, multimodal search, and enterprise-scal

Hugging Face for Applied Rag and LLM Systems: Building advanced retrieval-augmented generation with embeddings, multimodal search, and enterprise-scal

Thalor, Olivia

Paperback

Databases

Currently unavailable to order

ISBN13: 9798267423359
Publisher: Independently Published
Published: Sep 27 2025
Pages: 364
Weight: 1.39
Height: 0.75 Width: 7.00 Depth: 10.00
Language: English
Build reliable, production-ready retrieval-augmented generation with the Hugging Face stack, from embeddings and multimodal search to enterprise-scale serving.

Many teams ship prototypes that fail under real data, compliance needs, and traffic. This book closes that gap by showing how to turn retrieval-augmented generation into a dependable system that scales. You will learn how to choose and evaluate embeddings, design hybrid search, integrate rerankers, and serve models with low latency, all while meeting security and governance requirements. The content maps tightly to practical workflows that developers and architects can adopt without guesswork.

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