Jurisdiction-enforced inferenceAccounts are reviewed per jurisdiction and billed from the first token. No free credits, no promotional tier.Contact us for a quotation

Solution · Enterprise RAG

Priority build

Retrieval for data that must stay in the country

Your documents stay in an in-country store. The model reasoning over them must stay there too. That includes embedding and reranking, the steps teams most often miss.


100%
Retrieval stages under one policy

Embed, rerank, generate

404
Failure mode when no in-region provider exists

Refuse, never fall back

Per-request
Residency record granularity
01

The problem

Retrieval pipeline transfer risks

  1. 01

    Failure mode 01

    A pipeline is audited for where its output runs, then calls a US-hosted embedding endpoint and a global reranker.

  2. 02

    Failure mode 02

    Failover is set for availability, so a residency-bound request can land in whatever region answers first.

  3. 03

    Failure mode 03

    The same corpus is indexed twice, in two regions, because no one chose the authoritative copy.

02

The approach

Retrieval stage policy

  1. 01

    Measure 01

    Embeddings, reranking and model output use the same jurisdiction policy as chat. A leaking stage fails closed instead of falling back.

  2. 02

    Measure 02

    Region is declared per request, key or workspace. A retrieval service pinned to Korea cannot answer from Tokyo.

  3. 03

    Measure 03

    Each stage records its serving region in an exportable residency record.

03

Models for this workload

Starting points and serving regions

Sample catalogue rows
ModelProviderContextInput, per 1MRegionsResidency
DeepSeek V4 ProDeepSeek1M$0.3CN · cn-beijingIn region
04

Who this is for

Audience

Platform and infrastructure teams

  • One endpoint for every pipeline stage
  • Residency enforced without forking app code
  • Cache behaviour you can inspect across borders

Compliance and risk reviewers

  • A documented refusal behaviour for the review record
  • Request-level evidence of each stage's region
  • A corpus boundary matched to internal data classification

Product and data teams

  • Current open-weight models without a new procurement cycle
  • Compare quality and price on your retrieval set
  • Experiment inside an already approved boundary
05

Other solutions

Other solutions


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