Use cases
Four problems GraphBuff is built for. Each page has a small dataset, three queries with the output they return, and the command that loads it.
Embedded in your program
A graph inside your Rust process: no server to start, no container in the test suite.
Recommendations
"Customers who bought this also bought" as a two-hop pattern, ranked in the same query.
Fraud and network analysis
Rings, shared devices and connected components, with the graph algorithms built in and a GPU backend for large graphs.
Knowledge graphs larger than RAM
Disk-resident storage with a page cache: the graph can outgrow memory and the queries stay the same.