LLM

Retrieval-Augmented Generation (RAG) is a powerful method that enhances Large Language Models (LLMs) by integrating external knowledge through document retrieval. It’s widely used in real-world AI applications where up-to-date, factual, and domain-specific information is essential. If you’re looking for a step-by-step introduction to RAG from foundational concepts to advanced implementation techniques. LangChain’s 14-part video series … Read more