A knowledge graph is a map of things and how they connect.
A thing might be a person, a policy, or a decision. A connection might say “this person approved it” or “this decision came from that review.”
The names can sound technical. The idea is familiar: keep the useful links so someone else can follow them.
A simple example
A policy says that Enterprise customers pay yearly. The policy connects to a review that explains why monthly billing was dropped.
It also connects to a limit in the billing system and an exception for one customer.
A reader can follow each connection to see what shaped the rule. They can check the sources before making a change.
What the connections add
Search helps you find a page. A graph helps you move between related pieces of knowledge.
For example, you might start with a process, open the decision behind it, then check the evidence that led to that decision.
The graph can also keep the order in which ideas need to be learned. One idea may only make sense after another has been explained.
How knowledge gets into Cluesora
Corpus can keep decisions written by connected AI tools, pages saved from Chrome, and imported Confluence content. Cluesora’s Slack and Teams agent keeps what you ask it to keep.
Confluence imports are copies with source links. The original stays in Confluence; the imported content follows the access rules of the Cluesora workspace.
What is still unknown
If a decision has no recorded reason, that is useful to know. An open question lets someone supply the missing answer later.
A graph does not make every fact correct. Its value is that the connections and sources are easier to inspect.