What is Centrality?
Verified 5 August 2026
PageRank-style centrality scores a node by the weighted importance of what points at it, computed iteratively. In a coverage graph it identifies passages the rest of the corpus treats as load-bearing.
It answers a different question from relevance. Relevance asks what matches the query; centrality asks what the field considers canonical. For an agent entering an unfamiliar domain the second is usually more useful — it surfaces what an expert would have read first.
Computed at build time and stored as a fast field, so filtering and sorting on it costs nothing at query time.
How unlob handles this: Coverage graph
Common questions
What is Centrality?
Centrality measures how well-connected a node is within a graph, and is used to identify the documents a field treats as foundational.
How does Centrality work in practice?
It answers a different question from relevance. Relevance asks what matches the query; centrality asks what the field considers canonical. For an agent entering an unfamiliar domain the second is usually more useful — it surfaces what an expert would have read first.
See it working
The free tier is 10,000 requests a month with no card — enough to test any of this against your own queries.