A Simple Guide to RAG. Retrieval-Augmented Generation

This is a comprehensive guide to the Retrieval Augmented Generation (RAG) technology, which makes modern large language models (LLM) accurate and reliable. Abhinav Kimoti explains the RAG architecture step by step: from building knowledge bases and indexing pipelines to advanced optimization and evaluation strategies. Practical examples in Python will help engineers and developers easily implement RAG in their projects. An excellent tool for mastering cutting-edge AI — from basics to expert solutions in real-world tasks.