What Data for This Category Looks Like
Data for this category comes from steel coil labels and quality certificates, stamping press and feeder operation data, mold management systems, MES systems, and coordinate measuring machine or fixture inspection data. Daily documents include stamping work instructions, material utilization rate sheets, mold inspection sheets, first and last piece records, dimensional inspection reports, and mold change records. Data updates trigger per coil of material, per batch of materials, or each mold change. Document fields include steel coil grade, material thickness, stamping press run count, mold number, inspection dimensional tolerance, mold change time, and other fields. Corresponding units include millimeters, counts, hours, and others.
Constraints Imposed on Document Parsing and Chunking
Multi-source heterogeneous documents in this category have significant format differences. They include structured table documents and plain text record documents. The chunking step must balance structured field extraction and semantic coherence. It must avoid splitting that breaks professional logic. High-frequency updated small-volume documents require efficient parsing and chunking processes. This adapts to fast processing rhythms. Professional fields such as drawbead parameters and springback compensation values require chunking to retain contextual associations. This ensures complete professional information during subsequent retrieval. Large differences in structure exist across different documents. Targeted parsing rule configuration is required. This adapts field extraction logic for different document types.
Configuration Settings
The following configurations are based on the functional logic of FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the semantic length of professional paragraphs and structured tables in stamping documents, avoiding splitting that breaks professional logic |
chunkSplitter | Split by semantic paragraphs + table boundaries | Adapts to the mixed text and structured table characteristics of documents in this category, retaining the overall integrity of tables |
customPdfParse | Enable structured parsing mode | Accurately extract dedicated fields for fixed-format PDFs such as stamping quality certificates and inspection reports |
PARSE_FILE_TIMEOUT_SECONDS | 60–90 seconds | Adapts to the parsing time of single stamping documents, avoiding timeouts for high-frequency small documents |
chunkSettingMode | Manual configuration | Adjust chunking parameters for different document types such as work instructions and mold change records, to adapt to diverse structures |
Three Common Mistakes
- Phenomenon: After uploading a docx or PDF file in a server environment, the document parsing node returns a 404 error, and file content cannot be extracted. Cause: The access permission for the server-side file upload path is not configured, or static resource routing rules restrict the file reading scope of the parsing node.
- Phenomenon: After enabling structured parsing, some custom fields in stamping quality certificates and dimensional inspection reports are empty. Cause: Custom parsing rules are not configured for dedicated fields of this category such as steel coil grade and springback compensation values, and default parsing cannot match non-standard field formats.
- Phenomenon: Knowledge base retrieval results do not include chapter title information of the document, only returning plain text paragraphs. Cause: The context association mode is not enabled in the chunking configuration, and the binding relationship between document hierarchical titles and main text is stripped during splitting.
How to Confirm Proper Configuration
- Upload a typical stamping work instruction, check the parsed chunking results, and confirm that structured tables are not split and professional paragraphs have coherent semantics.
- Test multiple different types of documents such as mold change records and material utilization rate sheets, and confirm that parsing time does not exceed the configured timeout threshold.
- Trigger RAG retrieval, confirm that retrieval results include document chapter titles and core professional fields, with matching logic that meets business requirements.
- Check file upload and parsing logs in the server environment, and confirm that there are no 404 or timeout error records.
The values provided are common starting points and should be measured against the reader's own samples.