Lore DB for Support Teams

Give your support team instant access to product documentation, troubleshooting guides, and known issues — powered by AI search.

The problem

A customer reports an issue. Your support agent searches the wiki, checks Slack, asks a colleague — and 15 minutes later, they’ve cobbled together a response from three different sources. Meanwhile, the customer is waiting.

The solution

Store your support documentation in Lore DB. Connect your AI tool (Claude, ChatGPT, or the web app) and get instant, sourced answers to customer questions.

Example workflow

A customer asks about API rate limits:

1. The support agent opens Lore DB’s Ask AI page
2. Types: “What are our API rate limits and what happens when they’re exceeded?”
3. Lore DB searches the documentation and returns an answer citing the “API Rate Limiting Policy” doc
4. The answer includes the exact limits, error codes, and recommended retry behavior
5. The agent copies the relevant sections into their response — accurate, consistent, and fast

What to put in Lore DB

For support teams, the most valuable content is:

• Product documentation — Features, settings, known limitations
• Troubleshooting guides — Common issues and step-by-step resolutions
• FAQ answers — Pre-written responses for frequent questions
• Release notes — What changed, what might break, what to tell customers
• Escalation procedures — When to escalate, to whom, and what info to include
• Known issues — Active bugs, workarounds, ETAs

Library structure for support

Getting started

1. Create libraries for your support documentation
2. Import existing docs or create new ones
3. Share libraries with your support team (Viewer access)
4. Connect AI tools for instant answers