Glossary
RAG Is Not a Product Strategy
RAG (Retrieval-Augmented Generation)
A technique that combines a language model with a search system. Instead of relying solely on what the model was trained on, RAG first retrieves relevant documents from your data, then uses the model to generate an answer based on those documents.
RAG is how most companies build AI systems that can answer questions about their own proprietary data, like internal docs, knowledge bases, or customer records. It's powerful but frequently overapplied to problems that better search would solve.