# Search to production # Search to production Data Takes a retrieval system from a local prototype through to production: the index model, the migration off the local store, historical backfill, live ingestion per source, and the instructions an agent needs to use it. - **Used when** — When a retrieval prototype works and the question is what it takes to run it for real. - **Loads first** - The local prototype skill first, then the production retrieval skill. - The batch-workflow skill, for the backfill. - **Returns** - The prototype's status, command surface and verification results. - The corpus, chunk, link, embedding, metadata and data-governance contract. - The readiness gate result and the questions still open. - The production index model and the migration plan off the local store. - The backfill design, with cost, idempotency, metrics and replay. - The ingestion design per source. - The rollout plan, the verification, and the remaining limitations. - **Hands off** - Knowledge search — designing the retrieval agent itself ## Others in Data - Counterparty document expectations - Data-lake assistant - Dataset fulfilment - Knowledge search - Metric reconciliation - Model curator - Pipeline control panel - Property data exploration - Public record ingestion - Question answering - Report catalog