RAG Explained: How Retrieval-Augmented Generation Works
Retrieval-Augmented Generation (RAG) has become the go-to architecture for building AI applications that need access to specific, up-to-date information. If you’re building with LLMs, understanding RAG is essential.
What RAG Is
RAG combines two capabilities: information retrieval and text generation. Instead of relying solely on what an LLM learned during training, RAG retrieves relevant documents from









