Batchrouter
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Workflow · embeddings-backfill

Embeddings Backfill

Refresh retrieval indexes in the background and ship clean vector-ready result rows.

BatchRouter prices bulk embedding refreshes before they start, pushes them through a cost-sensitive route posture, and returns normalized output rows you can pass into the next ingest step.

active
embeddings
standard SLA
Webhook delivery
Use this workflow productRead docs
Customer outcome

A low-touch backfill run that refreshes search coverage without blocking production work.

For: Search teams, catalog ops, and data platform engineers

Inputs embeddings-backfill Outputs
SLA-backed delivery

What this workflow does

  • Refresh large corpora on a repeatable cadence without building custom queueing or retry logic.
  • Use a cost-first route posture for bulk work while still getting a single completion surface.
  • Download one normalized artifact and hand it to your warehouse or vector ingest job.

Success SLA
standard

24-hour batch deadline for low-cost bulk vector refreshes.

Defined as: The batch reaches completed before the configured 24-hour SLA and exposes a result artifact containing normalized embedding rows ready for downstream ingest.

Default routing policy
Lowest cost under SLA

Push toward the cheapest eligible provider while still respecting the 24-hour MVP SLA.

Ship Embeddings Backfill in production

One POST, one webhook. Outcome-priced, with no token math or DAG setup.

Use workflow product