Glean vs Lore DB
Glean is an enterprise AI search platform that connects to everything — Slack, Drive, Confluence, Jira. It’s powerful, but it’s built for large organizations with large budgets. Lore DB is built for developer teams that want fast, focused AI access to their documentation.
Quick comparison
| Feature | Glean | Lore DB |
|---|---|---|
| AI search across tools | Yes (Slack, Drive, Confluence, etc.) | Focused on your curated documents |
| Works with Claude Desktop | No | Yes |
| Works with Cursor / VS Code | No | Yes |
| MCP server | No | Yes (native) |
| Setup | Weeks (enterprise deployment) | Under 2 minutes |
| Document linking & knowledge graph | No | Yes |
| Per-user AI scoping (library toggles) | No | Yes |
| Self-serve | No (sales-led, enterprise) | Yes (sign in and go) |
| Pricing | Enterprise ($$$, per-seat) | Free tier + SEK 79/month Pro |
| Target audience | Enterprise (500+ employees) | Developer teams (5-50 people) |
When to choose Glean
- You’re a large enterprise (500+ people) with knowledge spread across 10+ tools
- Budget is not a constraint
- You want AI search across Slack, Drive, Confluence, Jira, and more
- You have an IT team to manage deployment and connectors
When to choose Lore DB
- You’re a developer team that wants AI coding assistants to know your docs
- You want to be running in minutes, not weeks
- You want MCP integration with Claude, Cursor, VS Code, and ChatGPT
- You want to curate exactly what your AI sees (library toggles, not everything)
- You want a focused knowledge base, not an enterprise search platform
The core difference
Glean indexes everything. That’s its strength and its weakness — you get broad coverage but noisy results, and your AI tools can’t use it.
Lore DB lets you curate. You decide exactly which documents your AI can access. Toggle libraries on and off per user. The result is precise, relevant answers from vetted documentation — not a haystack search across every Slack message.