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高宏飞

Shared on 2026-01-18

AuthorDominik Polzer

As businesses race to unlock the full potential of large language models (LLMs), a critical challenge has emerged: How do you connect these tools to real-time, external data to solve real-world problems? Retrieval-augmented generation (RAG) is the answer. Packed with over 70 practical recipes, this go-to guide tackles a wide range of GenAI applications through structured hands-on learning. Author Dominik Polzer provides the tools you need to design, implement, and optimize RAG systems for your unique use cases.

Tags
rag
Publisher: O'Reilly Media, Inc.
Publish Year: 2024
Language: 英文
File Format: EPUB
File Size: 7.1 MB
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