Grounding Chatbots in Your Own Data

A grounded assistant searches your approved content first, then writes an answer constrained to what it found. That single architectural decision does more for accuracy than upgrading to a larger model.

It also makes the system auditable: you can show exactly which document produced an answer, and correct the document rather than the prompt.

A good assistant knows what it does not know. Setting an explicit confidence threshold, and a clear behaviour below it, is what makes a bot safe to put in front of customers.

Deflection rate tells you how much work the bot absorbed. The list of unanswered questions tells you what to improve. Teams that review that list weekly see accuracy climb quickly in the first two months; teams that only watch deflection plateau.