What is RAG (retrieval-augmented generation)?

RAG is retrieval-augmented generation: before a language model answers, it retrieves relevant chunks from your own documents and feeds them in as context, so the answer is grounded in your data instead of only the model's training. NodeTool has built-in vector search and document nodes to build RAG pipelines on the canvas.