Food Safety Supervision Sampling: Ledger Summary and Report Generation — Knowledge Base Retrieval and Recall

What the data for this category looks like

Data sources for this category include the food safety sampling monitoring system, the national market supervision administration sampling results query system, laboratory LIMS systems, and food producer and operator ledgers. The data update frequency is monthly. Core documents cover sampling plans, sampling slips, inspection reports, unqualified food verification and disposal reports, and risk control notices. Most documents use structured fields, including sampling number, inspection items, non-conforming items, disposal results, and others. Inspection item results are measured in milligrams per kilogram. Sampling slips are linked to specific production and operation entity information. Exclusive data for different regulatory bodies must be stored in isolation to ensure regulatory compliance.

Constraints Imposed on Knowledge Base Retrieval and Recall

The monthly update frequency requires matching the knowledge base incremental sync cycle to the monthly sampling rhythm, to avoid data lag harming ledger summary timeliness. Multiple structured document types require retrieval to support field-level precise matching, such as linking inspection reports and sampling slips via sampling number. Core evidence comes from laboratory LIMS inspection data, so retrieval must prioritize recalling documents with complete inspection result fields. The need for isolated exclusive data across regulatory bodies requires retrieval configurations to support dataset-based permission division, preventing cross-jurisdictional data leakage or unintended inclusion in retrieval results.

Configuration Settings

Reference only; verify against the target FastGPT release and deployment documentation.

| limit | Top 10 entries | Covers the core data volume of sampling batches and inspection results required for a single ledger summary, avoiding redundant information interfering with the summary logic |

| usingReRank | Enabled | For scenarios with mixed retrieval of multiple document types, use reranking to improve the ranking priority of core documents such as inspection reports and non-conforming disposal reports |

| searchMode | Precise matching priority | Adapts to retrieval needs for precise fields such as sampling numbers and inspection items, ensuring the accuracy of core data recall |

| datasetSearchUsingExtensionQuery | Enabled | Supplementary context information for associated documents such as sampling plans and risk notices, enriching the information dimension of ledger summary |

| collectionIds | Dataset IDs divided by regulatory body | Isolate exclusive data from different grassroots supervision institutes and inspection institutions, complying with compliance requirements for regulatory scenarios |

Three Common Misconfigurations

• Non-local regulatory jurisdiction sampling data is mixed in retrieval results, and sampling location fields are empty. Cause: The retrieval dataset range is not limited via collectionIds, and exclusive knowledge bases are not divided by grassroots supervision institutes and inspection institutions.
• Retrieval results only include a single inspection report, and the corresponding sampling slip and sampling plan context are not linked. Cause: datasetSearchUsingExtensionQuery is not enabled, and context supplementary retrieval for associated documents is not activated.
• The number of retrieval results does not meet the ledger summary requirements, with either excessive redundancy or insufficient coverage. Cause: The limit parameter is not set correctly, or the similarity threshold is not adjusted according to the matching accuracy of structured documents.

How to Verify Correct Configuration

• Retrieve documents with a specified sampling number, confirm that only associated data within the corresponding regulatory jurisdiction is returned, to verify that the collectionIds configuration takes effect.
• Retrieve sampling plan keywords, confirm that the returned results include multiple types of associated documents such as sampling slips, inspection reports, and disposal reports, to verify that the datasetSearchUsingExtensionQuery configuration takes effect.
• Trigger retrieval and check the number of returned results, confirm that they meet the preset limit range, to verify that the parameter values are correct.
• Check the ranking of retrieval results, confirm that core documents such as inspection reports and non-conforming disposal reports are ranked first, to verify that the usingReRank configuration takes effect.

The values listed here are common starting points, and should be evaluated against the reader’s own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.