A Practical Approach to Retrieval Augmented Generation Systems

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Welcome to "A Practical Approach to Retrieval Augmented Generation Systems," your essential guide to the world of Retrieval-Augmented Generation (RAG). Whether you're a pro or a newbie, this eBook is your key to unlocking the true power of RAG.

Why Us:

Let's talk about what makes us different:

  1. Real-World Application: Do you know that bootstrapping Indie Hackers like PDF.AI is generating $30k MRR? You could do the same! We show you how RAG works in the real world, using the popular use case of "chatting with your PDF documents".
  2. Showcasing Different Frameworks: In the ever-changing tech world, making informed choices is crucial. We showcase popular RAG implementation frameworks like LLamaIndex, LangChain, and Haystack. This way, you can make the right choice for your specific needs.
  3. Holistic Approach: We take a comprehensive view of RAG and discuss its practical challenges when it comes to production. This isn't just about toy projects; it's about building robust systems ready for real-world use.

As you dive into this book, you'll gain the skills and knowledge you need to make the most of RAG for better information retrieval and response generation. Ready to get started? Don't miss this chance to boost your expertise in building RAG systems. Grab your copy now, and let's embark on this exciting journey together.

And remember, the landscape of LLM applications and research is ever-changing. We can't cover everything, but we aim to provide a comprehensive snapshot of what's out there since the release of ChatGPT. Our lens is focused on productionizing an LLM + RAG system with practical use case.

Please note that the book comes in digital PDF format.

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18.2 MB
127 pages
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A Practical Approach to Retrieval Augmented Generation Systems

5 ratings
I want this!