What Is a Product Knowledge Graph?
A product knowledge graph maps features, plans, errors, and policies into a structure AI can reason over with citations.
A product knowledge graph is a structured map of how a SaaS product actually works. Features connect to plans. Plans connect to limits. Limits connect to error messages. Error messages connect to remediation steps.
Vector search alone cannot represent this structure. It can find similar text, but it cannot tell you that 'Slack integration' is gated behind 'Growth plan' and requires 'workspace admin' permissions.
How SupportGraph builds the graph
Ingestion pulls in docs, website pages, FAQs, PDFs, and historical tickets. Parsing extracts entities such as features, plans, policies, errors, and workflows. A graph layer captures the relationships between them.
When a ticket arrives, retrieval combines graph traversal with vector search. The result is a context window that reflects how the product actually behaves, not just what was written about it.
Building support AI you can actually trust?
SupportGraph turns docs and ticket history into a product knowledge graph for source-backed AI replies. Early access is open.