a video overview that breaks down the Retrieval-Augmented Generation (RAG) process step-by-step, starting from document ingestion and chunking through to the final LLM response.The video will explain why smaller, logically split files are generally more effective than consolidated mega-files for maintaining high precision and avoiding the "lost-in-the-middle" phenomenon. It will also contrast the exact-match logic of traditional SQL databases with the similarity-based search used in vector databases, illustrating why SQL falls short for semantic retrieval.