AI knowledge graph generator

You start with a question, not a blank diagram. MindWeb's AI knowledge graph generator runs deep, multi-step web research on your topic, reads the sources it finds, and writes a cited report. Instead of leaving that report as a wall of text, it parses the findings into discrete entities and the relationships between them.

The result is a graph you didn't have to draw. Each key concept becomes a node, each connection becomes an edge, and the original sources stay attached so the graph is verifiable from the first render.

A knowledge graph is only useful if its structure mirrors how the ideas actually relate. MindWeb identifies the core entities in your research — people, concepts, events, technologies — and turns each into a node carrying its own summary and evidence.

It then infers the edges: how those entities connect, depend on, or contrast with each other. Because the generator works from cited research rather than guesswork, the relationships it draws are grounded in the sources, not invented to fill the canvas.

Seeing a topic as a graph changes how you understand it. A linear answer hides structure; a visual knowledge graph makes the shape of a subject obvious — which ideas are central, which are peripheral, and where the gaps are.

Pan and zoom across the canvas, follow an edge from one node to the next, and keep the full picture in view. The visualization is the deliverable, not a side effect — it's how you reason over everything you've gathered.

A generated graph is a starting point, not a ceiling. Click any node to ask a follow-up question, and MindWeb runs fresh research and grafts the new findings onto the same graph — cited, connected, and ready to explore further.

There's no limit to how far you can branch. A single question can grow into a sprawling, well-sourced map of an entire field, then publish as a read-only link you can share with anyone. It works in English and 中文, so you can build in whichever language your sources are in.