Grounding AI with actual knowledge — retrieval-augmented generation, vector databases, and building systems that answer from real, up-to-date sources.
On its own, an LLM only knows what was baked into it at training time — it can't see this morning's news, your company's internal docs, or anything that changed after its cutoff date. Retrieval-Augmented Generation fixes both problems at once: before answering, the model looks up relevant, current, or private documents and reads them alongside your question, so its answers can be fresh, specific to you, and traceable back to a real source instead of a guess.
