What data for this category looks like
Core data for this category is generated across the entire garment production workflow. Daily documentation includes process sheets, patterns, layout plans, cutting orders, first article sample seals, process quality sheets, packaging and size matching sheets, and other related materials. Data sources cover order and size charts, CAD patterns, fabric and accessory inspection records, hanging system data, needle detector logs, and customer sample seal materials. Data updates follow the rhythm of each order, each style, and each batch. Single-style documentation includes detailed fields such as pattern parameters, process requirements, fabric specifications, and packaging ratios. There is no unified fixed format, and content adjusts dynamically with production batches.
What constraints do these characteristics impose on the citation and traceability process
The data characteristics of this category impose multiple constraints on the citation and traceability process. Multi-type production documents without a unified format require the traceability system to support cross-file type association matching, covering different business documents such as process sheets and layout plans. The high-frequency update rhythm based on orders, styles, and batches requires configuring data sources bound in real time to production nodes, to avoid referencing expired versions. Data is tied to specific attributes of orders, sizes, and batches, so traceability results must accurately match the original records of the corresponding production link, and cannot be generalized for association. The non-reversible cut pieces and intensive process business characteristics require the traceability logic to strictly correspond to the binding relationship between processes and materials, to ensure the traceability of citation results.
How to set the configuration
This configuration applies to FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
quoteMaxToken | 800–1200 token | Garment production-related documents have relatively long single content, and the referenced snippet needs to cover complete processes or pattern parameters |
responseData | Enable return of citation source details | Citation document types, generation times, and associated batches must be displayed synchronously to support cross-checking of production links |
detail | Enable full field display | This category of data includes detailed fields such as order numbers, sizes, and fabric batches, and full display is required to meet review needs |
| Single search limit | Top 8 entries | The number of production documents for a single garment style increases with the number of processes. The top 8 entries can cover core associated data and avoid redundancy |
| Maximum context length | 2000–3000 characters | Process requirements and layout data need to be integrated to ensure information integrity for cross-review |
Three common errors
- Symptom: Citation source files cannot trigger downloads, the interface displays blank or shows an error prompt "Resource does not exist". Cause: The local storage path of the citation source is not configured, or the path permissions are insufficient, causing the system to fail to read the original files of the corresponding documents.
- Symptom: Exported data only supports packaging by knowledge base dimension, and cannot be split by business category. Cause: The index configuration for grouping by business tags is not enabled, and the system defaults to packaging and exporting only by the entire knowledge base.
- Symptom: The API call return result has no citation source field, or the field is empty. Cause: The
responseDataconfiguration item is not enabled, or the configuration parameters are not correctly associated with the API return format.
How to confirm the configuration is correct
- Initiate a query targeting a single garment style process sheet, check if the return result includes details such as citation source document type and generation time, to confirm the configuration is effective.
- Check the token count of the referenced snippet, verify that it falls within the configuration interval of
quoteMaxToken, to confirm the parameter value is reasonable. - Import test batch production data, initiate cross-document association queries, check if it can accurately match the original records of the corresponding order and size, to confirm the traceability logic is correct.
- Call the API interface, check if the return result includes complete citation source fields, to confirm the API configuration is synchronized with the page settings.
The values provided are common starting points and should be measured against the reader's own samples.