Object storage#

An invoice dispute can depend on the original PDF, a corrected copy, and supporting evidence. The amount and status alone do not explain the decision if the document someone reviewed is missing. Those files belong with the knowledge about the invoice. Their relationships and history matter for the same reasons as the other facts in the dataset.

A file name is not enough to identify that evidence. Renaming a document does not change its contents, while replacing a file under the same name can change what it says. Deterministic hashing gives identical content the same identity, independently of its name or location. The application can distinguish the document used for an earlier decision from a later correction.

The same document can also have several roles. A PDF may support the customer's dispute and the accounting team's correction, with different notes attached to each use. Those facts describe the relationship to the document without needing separate copies of its content. Queries can connect the evidence to the decisions it supports.

Repeated content#

Over time, real workloads often contain repeated material. Versions of a document can share content, and the same attachment may appear in several workflows. A longer history creates more opportunities to recognize that repetition. Keeping earlier versions need not mean treating all of their content as new.

Automatic deduplication lets files and versions share identical content. This reduces repeated storage and writes without making each application find duplicates itself. The dataset can keep distinct versions and their meaning while sharing the content they have in common.