Notes from the workbench
Why ShrikeDB?
Three practical arguments about hard queries: match the work to the answer, keep inference attached to evidence, and make source semantics explicit before the first large run.
01
Small answers should not require enormous searches
A fraud-ring count, a GraphRAG shortlist, and an evidence trail can share a pattern while requiring very different work. This is how to tell them apart.
For graph analytics, fraud, and GraphRAG 02A relationship is a claim, not a line
Turn observations into candidate episodes without converting reporting frequency, public infrastructure, or missing data into false certainty.
For intelligence, movement, and financial analysis 03No ETL still needs a contract
Direct Parquet queries work when identity, grain, version, and multiplicity remain visible. A worked order example shows where plausible totals go wrong.
For lakehouse and operational data teams