RAG vs MCP: Complementary AI Approaches

Retrieval-Augmented Generation (RAG) is a technique that enhances large language models (LLMs) by allowing them to fetch relevant information from external data sources (such as documents, databases, or knowledge bases) at query time. The process typically involves: