04-26-2025, 09:17 PM
![[Image: 2419b012fceb3f736206f786521b9572.png]](https://i125.fastpic.org/big/2025/0426/72/2419b012fceb3f736206f786521b9572.png)
epub | 6.74 MB | English| Isbn:1803245743 | Author: Zhenya Anti¿ | Year: 2024
Description:
Quote: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.
![[Image: signature.png]](https://softwarez.info/images/avsg/signature.png)
