What the data for this category looks like
This category’s data comes from food safety sampling and monitoring systems, the State Administration for Market Regulation sampling results query system, laboratory LIMS, and food producer and operator ledgers. Daily documents include sampling plans, sampling slips, inspection reports, unqualified food verification and disposal reports, and risk control notices. Fields cover sampling batches, inspection items, unqualified judgment basis, and disposal measures, among others. The update frequency is monthly. Most individual documents use structured form or standardized report formats.
Constraints on citation sources and traceability workflow from these characteristics
Monthly updated data sources require the citation and traceability workflow to support regular incremental data synchronization. This prevents expired information from being called. Structured document formats require configuration items to accurately match field associations. This ensures specific sampling slips and inspection report entries can be located during traceability. Mixed calls of multi-source data require clear distinction of document identifiers from different systems. This prevents traceability confusion. Documents related to non-compliance disposal have high rigor requirements. The traceability link must retain complete citation paths, and cannot omit information from key links.
How to set up the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 token | Matches the average token size of core documents for this category, such as inspection reports, ensuring complete citations without exceeding context limits |
responseData | Enabled | Requires returning document metadata and original field information to support precise positioning during traceability |
detail | Full | Retains key identifiers such as sampling slip numbers and inspection report numbers, making it easy to trace specific business links |
| Citation Limit | Top 3 entries | This category has standardized document structures; too many citations will cause token overflow. Control the number of entries per business rigor requirements |
| Update Synchronization Frequency | Monthly | Matches the monthly update rhythm of data for this category, ensuring the timeliness of cited information |
Three Common Misconfigurations
- Phenomenon: Q&A results exceed the preset token limit, and the complete response contains sampling data but cannot properly associate traceability. Cause: The
quoteMaxTokenparameter is not set reasonably, causing the content of cited inspection reports and sampling slips to exceed context limits. - Phenomenon: Published knowledge base pages do not display specific sources of cited documents. Cause: The
responseDataconfiguration item is not enabled, and document metadata and field information are not returned. - Phenomenon: Call results contain duplicate or unrelated sampling document entries. Cause: A reasonable citation limit is not configured, or precise filtering is not performed using structured fields for this category of documents.
How to confirm proper configuration
- Run a sampling-related question test for party building learning. Check if citation document numbers and source system identifiers appear at the end of the answer.
- Adjust the
quoteMaxTokenparameter value. Verify if the answer’s token size changes with the configuration. - Check workflow logs. Confirm that the
responseDatafield’s metadata is returned for every call. - Simulate a monthly data update. Verify that the configured synchronization frequency triggers incremental data loading normally.
The values provided are common starting points and should be measured against the user'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.