What the Data for This Category Looks Like
Daily documents for this category include pre-press files, imposition sheets, printing process sheets, ink color matching records, first article sample approvals, barcode inspection records, die-cutting and lamination records. Data sources include customer submissions, color management systems, press operation data, ink and substrate batch ledgers, spectrophotometer test data, and barcode detector output results. Data is updated per order, per production batch, and each time a printing plate is replaced. Most documents contain fields such as edition number, batch number, color parameters, barcode codes, process parameters, and some documents include image attachments.
Constraints on Document Parsing and Chunking
This category’s high-frequency updates, multiple document types, structured fields, and elevated risk profile impose multiple constraints on the document parsing and chunking workflow. First, the requirement for high-frequency updates per order and batch means the parsing workflow needs stable timeout fault tolerance. This avoids single-document parsing timeouts delaying overall audit progress. Second, documents contain mixed text and image content, and some fields such as edition number and barcode number have strong associated attributes. Chunking must retain contextual connections to avoid losing critical identifiers after splitting. Third, document formats include PDF, DOCX, and formats with image attachments. Parsing rules must adapt to different formats to ensure accurate extraction of structured fields. Finally, the risk of entire batch rejection due to misprinted plates or barcode errors means parsing results must meet minimum key field integrity standards, to avoid chunking missing core audit information.
How to Configure Settings
These configurations are adapted for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
customPdfParse | Enable custom parsing mode | Adapts to documents in this category, which mix text and images and include structured fields such as edition numbers and barcodes, and preserves document hierarchy and field associations |
chunkSize | 800–1200 characters | Adapts to the single-page content length of printing process sheets and imposition sheets, avoiding splitting critical process steps or batch information |
chunkSplitter | Split by chapter and heading | Matches the hierarchical structure of documents in this category, ensuring chunks include associated information such as edition numbers and process parameters for the corresponding chapter |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Adapts to the parsing time of single documents such as multi-page imposition sheets, avoiding parsing timeouts in high-frequency update scenarios |
UPLOAD_FILE_MAX_SIZE | 500 MB | Meets the need for batch uploading multi-page pre-press files and first article sample image attachments |
chunkSettingMode | Manual configuration mode | Allows adjustment of chunking rules for different document types such as process sheets and barcode inspection records, adapting to the differentiated structures of documents within this category |
Three Common Misconfigurations
- Issue: Uploaded PDF documents have empty parsed fields, or cannot extract key information such as edition numbers and barcode numbers. Cause:
customPdfParsemode is not enabled, and default parsing rules cannot recognize structured fields and image association information in documents of this category. - Issue: Chunk retrieval returns only body fragments without corresponding chapter headings or batch number information. Cause:
chunkSplitteris not configured to split by chapter, and chunks are only truncated by character length, losing contextually associated structured identifiers. - Issue: Parsing tasks time out and fail when batch uploading multi-page imposition sheets. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the default timeout duration is insufficient to complete parsing and chunking of multi-page documents.
How to Confirm the Configuration Is Correct
- Upload a printing process sheet document, review the parsed text content, and confirm that structured fields such as edition number and batch number have been fully extracted.
- Check the chunked text fragments, confirm that each chunk includes the corresponding chapter heading and core process parameters, and that no single process step is split across two chunks.
- Upload a multi-page imposition sheet, wait for parsing to complete, and confirm that the task does not show a timeout status.
- Initiate a RAG retrieval test, confirm that the returned results include associated chapter headings and field information, which can be used for subsequent audit matching.
The values provided are common starting points and should be measured against the user's own samples.