What data for this category looks like
Core data for this category comes from manufacturing enterprise MES systems, testing equipment, laboratory systems, process parameter documents, customer standards, and historical defect databases. Daily processed documents include control plans, inspection records, SPC reports, finished product inspection reports, nonconforming product reviews, release orders, and quality monthly reports. Fields cover inspection item numbers, defect descriptions, release determination results, and batch identifiers. Units include quantity, time, and percentage categories. Data updates occur per batch, per shift, or via continuous collection. It covers all quality-related information across the full workflow from work-in-progress to finished products.
What constraints these characteristics impose on document parsing and chunking
This category has diverse data sources, frequent updates, and wide variations in document structure. These factors create multiple constraints for document parsing and chunking. Multi-source data requires support for parsing multiple formats: PDF, CSV, and plain text. This prevents omission of raw data exported from testing equipment. Different documents have distinct structural differences. Structured SPC reports contain time-series data. Unstructured nonconforming product reviews include extensive professional descriptions. Chunking rules must balance structured extraction and semantic association. This avoids splitting that breaks the binding between inspection items and their corresponding release thresholds. Large batch historical defect databases and monthly quality reports have large file sizes. Appropriate file upload and parsing timeout limits are required. This ensures smooth batch processing workflows. This category covers determination authority for work-in-progress to finished products. Chunking must retain the association between batch identifiers and release status. This ensures subsequent Q&A can accurately link quality information for corresponding batches.
How to set configurations
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the length of single-page inspection items in control plans and SPC reports. It avoids splitting inspection items from their corresponding release thresholds. |
chunkSplitter | Semantic chunking + structured table recognition | Adapts to multiple document types. It retains the table structure of SPC reports and inspection node associations in control plans. |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Adapts to batch-uploaded inspection records and quality monthly reports. It avoids parsing timeouts for large files. |
UPLOAD_FILE_MAX_SIZE | 500–1000 MB | Adapts to batch historical defect library CSV files. It meets multi-batch data import requirements. |
customPdfParse | Enabled | Extracts fixed inspection item fields from control plans. It avoids loss of structured information from plain text chunking. |
chunkSettingMode | Manual configuration | Adjusts chunking rules for different document types. It adapts to time-series data chunking in SPC reports. |
Three common errors
- Symptom: A custom parsing service interface timeout occurs after uploading a PDF file. A timeout error is displayed in the interface. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not configured correctly. The default timeout duration is insufficient for large-volume quality monthly report files. - Symptom: Only the first two columns of data are visible after importing a CSV-formatted SPC report. Cause: The full-column extraction configuration for structured table parsing is not enabled. The default setting only extracts the first two column fields.
- Symptom: File parsing fails when uploading in Docker mode. The interface returns a 413 error. Cause: The file upload limit for the Docker container is not adjusted. The
UPLOAD_FILE_MAX_SIZEconfiguration does not match the container limit.
How to confirm configurations are set correctly
- Upload a single control plan PDF. Check if the parsed chunks retain complete inspection items and their corresponding release thresholds.
- Upload batch CSV-formatted SPC reports. Confirm that the parsing results include all columns of detection data and timestamps.
- Upload a historical defect library file of approximately 1 GB. Check that the parsing process does not trigger a timeout or 413 error.
- View background logs. Confirm that the call duration of the custom parsing service does not exceed the configured value of
PARSE_FILE_TIMEOUT_SECONDS.
The values provided here are common starting points, and should be measured against the reader's own samples.