Lore DB for Team Knowledge

Build a shared knowledge base that your entire organization can search with AI. Reduce knowledge silos, speed up onboarding, and preserve institutional memory.

The problem

Knowledge lives in people’s heads, scattered across Slack threads, Google Docs, and Notion pages. When someone leaves, their knowledge goes with them. New hires spend weeks figuring out what everyone else already knows.

The solution

Centralize your team’s documentation in Lore DB. Every team member — and their AI tools — can search the same shared knowledge base. New knowledge is captured as a natural byproduct of work.

Example workflow

A new engineer joins the team:

1. On day one, they connect their IDE to Lore DB
2. They ask Claude: “How do I set up the local development environment?”
3. Claude finds the onboarding guide and walks them through it step by step
4. When they encounter an undocumented step, their AI offers to save it: “That wasn’t in the docs. Want me to add it?”
5. The knowledge base grows, and the next new hire has an even smoother experience

The knowledge flywheel

1. Store — Teams add their documentation to shared libraries
2. Search — Everyone searches with AI, getting instant answers
3. Capture — AI agents detect and save new knowledge as it emerges
4. Review — Knowledge champions promote verified content weekly
5. Repeat — The knowledge base gets better every week

Organizational structure

Getting started

1. Start with one team (see Team Rollout)
2. Create a shared library with your most important documents
3. Invite team members with appropriate roles
4. Connect AI tools to make the knowledge instantly searchable
5. Establish a weekly review ritual for quality control