A knowledge base is a centralized collection of articles, policies, and troubleshootingguides that agents and customers can search for answers, rather than relying onindividual agents to remember every policy or procedure.
A knowledge base's real value shows up in two places, how consistentlyagents answer the same question, and how much of that content an AI agent can draw on toresolve requests without human involvement. A thin or outdated knowledge base limits both.Agents fall back on guesswork, and an AI agent trained against it will escalate moreoften than it needs to, simply because the answer it needs isn't documented anywhere.
Teams typically track knowledge base usage (how often articles areviewed or surfaced during a conversation), self-service deflection (customers who findan answer without contacting support at all), and content gaps (how often agents or AIescalate a question that isn't covered anywhere in the knowledge base).
Dixa's Knowledge Base surfaces relevant articles automaticallyduring a live conversation, before an agent finishes reading the customer's message, andfeeds Mim's ability to resolve requests directly. Agents can also update an article frominside a conversation the moment they spot a gap, so the knowledge base improves throughdaily use rather than requiring a separate maintenance project.