🤖 Gen AI: From Scratch to Building RAG Agents with Arun Chauhan

🤖 Generative AI: From Scratch to Building RAG Agents

Want to understand GenAI beyond just using ChatGPT?

This beginner-friendly ebook takes you from the fundamentals of Generative AI and LLMs to understanding how real-world RAG systems work.

Perfect for developers, students and tech professionals starting their GenAI journey.

Inside you'll learn:

• 🤖 Generative AI Fundamentals — what GenAI is and why it matters
• 🧠 LLMs Explained Simply — what LLMs are and how they work
• 🔤 Tokens, Transformers & Attention — understanding the basic LLM pipeline
• 🐍 Python for GenAI — the essential Python concepts needed to start building
• 📚 RAG Fundamentals — what Retrieval-Augmented Generation is and why we need it
• 🏗️ Build a RAG System Step-by-Step — from business use case to final LLM response
• 📄 Data Ingestion & Text Extraction
• ✂️ Document Chunking — why chunk size and overlap matter
• 🔢 Embeddings — converting text into vectors and understanding semantic similarity
• 🗄️ Vector Databases — storing and retrieving embeddings
• 🔍 Similarity Search & Top-K Retrieval
• 🔐 Enterprise RAG Security — Authentication → Authorization → Retrieval → Generation → Audit
• 📊 RAG Evaluation — retrieval quality, grounded answers and hallucination checks
• 💼 Real-world Customer AI Assistant Example throughout the RAG explanation

The PDF specifically frames the progression as Python → GenAI → Production, and the RAG section walks through ingestion, chunking, embeddings, vector storage, retrieval, security, evaluation and generation.

💰 Get the ebook for just ₹29.