Retrieval Augmented Generation in Eighty Questions

A few months ago, Ali Ghodsi, co-founder and CEO of Databricks, revealed that their customers are actively embracing RAG, with 60% of their use cases involving LLMs being built upon this architecture. For developers, managers and business leaders, RAG has become as essential a concept to understand as Generative AI and Large Language Models.

One of the quickest ways to learn a concepts is to study the common questions and their answers around the subject. This book contains a list of 80 questions divided in 8 groups for a quick, in-depth understanding of the technique.

Table of Contents

RAG Basics---------------------Q1 to Q10

Questions on limitations of LLMs and the introduction to RAG

RAG System Design--------Q11 to Q20

Questions on the high level design of RAG systems

Indexing Pipeline----------Q21 to Q30

Questions on creating a knowledge brain for RAG systems

Generation Pipeline------Q31 to Q40

Questions on real-time user interaction in RAG systems

Evaluation------------------Q41 to Q50

Questions on the evaluation of RAG systems

Beyond Naive RAG---------Q51 to Q60

Questions on advanced RAG techniques

Evolving RAGOps Stack-Q61 to Q70

Questions on the technology stack for RAG

RAG Variants---------------Q71 to Q80

Questions on RAG patterns like multimodal, graph, agents, etc.

Versions

There are four versions of this book currently being offered -

1. Questions Only : Contains all 80 Questions (without answers) to understand Retrieval Augmented Generation
2. Foundations: Contains 40 Questions & Answers (Q1 - Q40) about basics of RAG design, Indexing and Generation Pipeline
3. Beyond Naive RAG: Contains 40 Questions & Answers (Q41 - Q80) about RAG evaluation, advanced strategies, RAGOps and cutting edge variants.
4. Around RAG in 80 [Complete book] : Contains all 80 Questions & Answers (Q1 - Q80) to understand Retrieval Augmented Generation

Other Resources

These questions are based on the book - "A Simple Guide to Retrieval Augmented Generation". Click to check it out.

Recommended products on Gumroad

Special Note

In case you're looking for a discount drop me a note on LinkedIn.