Data Profile for This Category
This category covers enterprises engaged in color printing, label, carton, flexible packaging, and pharmaceutical packaging processing. Core data comes from customer manuscripts, color management systems, press operation data, ink and substrate batch records, spectrometer test results, and barcode detector readings. Daily generated documents include pre-press files, imposition sheets, printing process sheets, ink color matching records, first-piece sample approval reports, barcode test records, and die-cutting and lamination process ledgers. Data updates are triggered per order, per production batch, and each plate change. A single ledger includes fields such as order number, plate version, ink batch, and test parameters. Fields and units vary flexibly based on document type, with no unified fixed format.
Constraints Imposed on Workflow Orchestration
Data sources are scattered and update frequency is high. Workflows must support real-time access to multiple data sources and configure corresponding nodes to process raw documents in different formats. The fields of different document types vary greatly, so a variable mapping link must be set in the workflow to unify ledger formats. Pre-press files, barcode test records and other data contain both image and text content, requiring workflows to support split processing of multimodal data and plain text data. The data volume generated by a single plate change or batch update fluctuates greatly, so sufficient context processing space must be reserved to avoid workflow node timeouts. Additionally, the fixed logic of printing processes requires generated reports to be arranged in production order to meet production audit requirements.
Configuration Settings
This configuration is based on the workflow logic of FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Single Search Limit | Top 3-5 entries | Printing and packaging ledger data is scattered. Too many search results will increase context pressure, and a small number of results can cover core process records |
| Chunk Length | 800–1200 characters | Pre-press files and process sheets are mostly long texts. This length retains complete process parameters and avoids information truncation |
| Maximum Context | 6000 token, calibrated based on actual testing | Summarizing multi-batch ledgers requires integrating multiple documents. This range covers the full process records of a typical order |
variables | Bind order number and plate version fields | Group and summarize ledgers by order and batch to ensure accurate data association |
| Reordering | According to process time sequence | Printing and packaging processes have fixed sequential order. Reordering generates reports that conform to production logic |
| Question Optimization | Enabled | Optimizes the query logic for ledger summary and avoids generating redundant non-production-related content |
Three Common Configuration Mistakes
- Phenomenon: After the workflow runs, the plain text process sheet node returns an error that the model does not support multimodal input, or the multimodal first-piece sample file does not trigger the image recognition process. Cause: No data split node is set in the workflow, and the corresponding processing model is not bound by document type.
- Phenomenon: The number of results returned by the knowledge base search in the workflow is fixed within 3000, and content exceeding the threshold is directly truncated. Cause: The reference limit parameter of the knowledge base search in the workflow is not adjusted, and the default workflow search limit is used.
- Phenomenon: Plain text content from test queries automatically triggers the document parsing process, resulting in response delays or parsing errors. Cause: The automatic parsing switch for non-document text is not turned off at the workflow entry node, or the text classification rules are not configured correctly.
How to Verify Proper Configuration
- Upload one pre-press file and one barcode test record to verify whether the workflow can automatically distinguish multimodal and plain text data and route them to corresponding processing nodes.
- Run a test order containing multi-batch data, check whether the generated ledger is reordered according to process time sequence, and whether core fields are fully associated.
- View the workflow running log to confirm that the number of results returned by the knowledge base search conforms to the preset single search limit.
- Check whether the fields bound by
variablescorrectly associate the order number and plate version to avoid ledger data misalignment.
The values provided are common starting points and should be measured against the reader's own samples.