Applied RAG - Practical Retrieval-Augmented Generation with Python: A Comprehensive Guide to Building Knowledge-Grounded AI Applications

<p><b>Applied RAG: Practical Retrieval-Augmented Generation with Python</b> authored by Dr. Balaji Venkateswaran provides a hands-on blueprint for building reliable knowledge-grounded AI systems. The book addresses LLM limitations like hallucination and static knowledge guiding readers through RAG theory architecture and practical Python workflows. It covers building blocks such as retrievers and embeddings advanced retrieval techniques and integration with frameworks like LangChain. Real-world applications operational challenges evaluation security and ethical AI are emphasized. This book empowers engineers scientists and leaders to master RAG and innovate in creating robust up-to-date AI solutions for tasks such as QA summarization and agents for enterprises.</p>