Yes. The Community edition is free forever under the Apache 2.0 license. You get the full GraphRAG engine, OntologyRAG with 3 custom ontologies, up to 1,000 documents, and self-hosted deployment. The source code is fully available and you can run it on your own infrastructure indefinitely.

On self-hosted deployments, you receive a notification at 80% usage but there are no hard limits enforced — the system keeps running. On managed cloud, exceeding limits triggers an upgrade prompt. We believe in transparent usage, not surprise bills.

Yes. gerts.ai uses the same data format and API across all deployment modes. You can export your knowledge graph, documents, and configuration from a self-hosted instance and import them into a managed cloud deployment (or vice versa) with zero data loss.

Building an equivalent knowledge platform in-house typically costs $180,000-$430,000/year in engineering salaries alone, not counting infrastructure and maintenance. A team of 10 on the Pro plan costs $5,880/year — roughly 30x less than the DIY approach, with faster time-to-value.

Yes. Annual billing saves 20% compared to monthly. We also offer special pricing for startups (under 2 years old, under $5M funding), educational institutions, and non-profit organizations. Contact our sales team for details.