"Retrieval-Augmented Generation (RAG)"

The Problem: LLMs are frozen in time. They don't know your business data and they often "hallucinate."

• The Solution (RAG): We treat the LLM as a "Researcher." When a user asks a question, the system first queries a Vector Database of your private documents, finds the most relevant "context," and feeds it to the AI to synthesize an answer.

• The Result: 100% grounded, verifiable answers with citations to your own data.