In the era of Artificial Intelligence (AI), extracting meaningful knowledge from vast datasets has become critical for both businesses and individuals. Enter Retrieval-Augmented Generation (RAG), is a breakthrough that has turbocharged the capabilities of AI, empowering systems to not only generate human-like text but also pull in the relevant information in real time. This fusion produces responses that are both rich in context and precise in detail.
As we set sail on the exciting voyage through the vast ocean of Artificial Intelligence (AI), it's essential to understand the three pillars that will be our guiding stars: Generative AI, Large Language Models (LLMs), LangChain, Hugging Face, and the useful application on this RAG (Retrieval-Augmented Generation).