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Quick Start

Response Quality

Improve how accurately and helpfully your chatbot answers customers.

Documentation Index

Fetch the complete documentation index at: /llms.txt

Use this file to discover all available QwryAI pages before exploring further.

Response quality is the result of source coverage, retrieval quality, model behavior, and clear escalation rules. Review weak answers with the customer question, the source content, and the chatbot response side by side.

QwryAI quality review and knowledge gaps
Knowledge Gaps is the fastest place to find response-quality issues.
  • Improve missing content first.
  • Use Playground to retest the same wording after every change.

Quality Levers

Instructions

Clear instructions tell the chatbot how to answer, when to ask for more information, and when to escalate. Keep instructions specific to your business and avoid broad promises the source content cannot support.

Source quality

The best answer improvements usually come from clearer source content. Add missing policy details, rewrite vague FAQs, and remove outdated pages before changing model settings.

Review loop

  1. Find weak answers in conversations, analytics, or knowledge gaps.
  2. Compare the customer question with the available source content.
  3. Update the source or instruction that caused the weak answer.
  4. Retest the exact wording in Playground.
  5. Monitor future conversations for the same issue.

Create a URL Mapping Document

When customers ask for a page by purpose instead of name, a short URL mapping document helps the chatbot recommend the right destination. Keep the file simple: page name, URL, and when to suggest it.

PageURLWhen to suggest
Returns policyhttps://example.com/returnsCustomer asks about return windows, refunds, or exchanges.
Shipping informationhttps://example.com/shippingCustomer asks about delivery regions, timelines, or fees.
Contact supporthttps://example.com/contactCustomer needs a human team or account-specific help.