Grounding support answers in your own knowledge base

A general-purpose model can sound confident about your product and still be wrong about it — it was never trained on your actual documentation, your return policy, or the specific way your product works. That gap is where a lot of AI support tools quietly lose customers' trust.

AI Customer Service closes that gap with retrieval: before the AI answers, it searches your own knowledge base and pulls in the specific articles relevant to the question, then answers from that material instead of guessing from general training data.

It's a deliberately unglamorous piece of the pipeline, but it's the difference between an AI that sounds right and one that actually is — and it's why we treat retrieval as core infrastructure, not an optional add-on.