Implementing RAG in LLM Applications
Large Language Models are powerful, but they are not always reliable when the answer depends on fresh data, private documents, or domain-specific knowledge. Retrieval-Augmented Generation, or RAG, solves this by combining an LLM with an external retrieval system that fetches relevant context before the model generates a response. In simple…