Generative AI and RAG: Connecting Language Models to Business Data

A language model may produce confident but incorrect answers without company context. Retrieval-Augmented Generation adds a retrieval stage: documents are chunked, embedded, stored with metadata, and relevant passages are provided to the model as context.

Quality starts with clean data and preserved permissions. Use hybrid search, reranking, source citations, and clear uncertainty. Protect customer data, prevent permission bypasses, and measure retrieval accuracy, answer correctness, latency, and token cost. RAG supports experts but does not replace review.