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Document RAG.
Retrieval over a case file is only useful if it stays inside the matter. Aetherfy scopes every query with schema and payload filters, pins collections to a region for residency, and caps spend at a hard ceiling — so ingesting a large corpus never means a surprise bill.
Retrieval scoped to the matter.
Store matter ID, client, jurisdiction, and privilege status in the payload, then filter on them at query time. A search for a clause can be constrained to a single case, a date range, or everything except privileged material — the filter runs in the database, not in your prompt.
Pin a collection to a region.
Per-collection region settings let you keep EU client documents in Frankfurt and US matters in US East. Data lives where the engagement requires, not wherever a global index happens to land.
REGIONAL REPLICATION ↗A hard spend cap.
Bulk-ingesting thousands of documents is bounded by a hard memory cap per plan and a spend cap you set. The platform warns as you approach the limit and refuses to silently overrun it.
SEE PLAN CAPS ↗Schema & payload filters.
Constrain retrieval by matter, client, jurisdiction, or privilege — enforced in the database, not left to the model.
Large corpus ingestion.
A globally replicated Qdrant deployment holds the whole document set; retrieval stays fast as the collection grows.
Residency you control.
Per-collection regions keep sensitive matters in the jurisdiction the engagement demands.