RAG (Retrieval-Augmented Generation)
Also known as: Retrieval-Augmented Generation, RAG
In one sentence
A technique where AI searches your documents for relevant info, then uses it to generate accurate, grounded answers.
Explain like I'm 12
Instead of the AI guessing from memory, it looks up the answer in your notes first, then writes a response based on what it found.
In context
Powers chatbots that answer questions about your company docs, research papers, or knowledge base—pulling fresh, specific info.
See also
Related Guides
Learn more about RAG (Retrieval-Augmented Generation) in these guides:
Fine-Tuning vs RAG: Which Should You Use?
IntermediateCompare fine-tuning and RAG to customize AI. Learn when each approach works best, how they differ, and how to combine them.
12 min readEmbeddings & RAG Explained (Plain English)
IntermediateHow AI tools search and retrieve information from documents. Understand embeddings and Retrieval-Augmented Generation without the math.
11 min readContext Management: Handling Long Conversations and Documents
IntermediateMaster context window management for AI. Learn strategies for long conversations, document processing, memory systems, and context optimization.
12 min read