What the data for this category looks like
Production data for this category originates from full workflows across automotive panel, household appliance sheet metal, and hardware stamping workshops. Daily documents include stamping work instructions, material utilization sheets, mold inspection logs, first/last piece records, dimensional inspection reports, and mold change records. Data sources include steel coil labels and quality certificates, real-time data from punch presses and feeders, mold management systems, MES systems, and coordinate measuring machine or fixture inspection results. Updates are triggered per coil of material, per batch of production materials, and each mold change operation. Most documents include specialized fields such as material grade, mold number, dimensional tolerance, and mold change time. Primary formats are docx and pdf, with some being structured tables exported from systems.
What constraints do these characteristics impose on the document parsing and chunking process
These document characteristics impose multiple constraints on the parsing and chunking process. First, multi-source heterogeneous document formats (standardized tables exported from systems, handwritten scanned inspection logs, and complexly formatted work instructions) require parsing engines to have structured awareness, to avoid fixed character splitting that breaks table integrity. Second, the high-frequency update rhythm requires parsing and chunking to efficiently handle both single small files and batch archived files. Third, specialized fields such as mold number and material grade need to retain contextual associations during chunking, to avoid losing the correspondence between production batches and quality inspection results after splitting. Fourth, large-volume archived files such as monthly mold change record summaries require reasonable setting of parsing and chunking resource thresholds, to avoid timeouts or resource exhaustion.
Configuration settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | This category’s documents include short fields such as mold numbers and tolerance values, plus coherent work steps. This range balances field integrity and contextual relevance |
chunkSplitter | Split by paragraph + table | Daily documents contain many structured tables and coherent work instruction content. Fixed character splitting will cause table row breaks and truncated work steps |
customPdfParse | Enabled | Adapts to structured PDF documents for this category such as system-exported dimensional inspection reports, and retains the layout structure of tables and specialized fields |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large-volume monthly archived documents such as mold change record summaries require longer parsing times to avoid parsing failures due to timeouts |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch uploading of steel coil quality certificates and archived files exported from mold management systems, adapting to workshop batch document management needs |
chunkSettingMode | Manual mode | Allows adjustment of chunking parameters for different document types including work instructions, inspection logs, and inspection reports, adapting to the diverse document formats of this category |
Three common mistakes
- Phenomenon: Some docx documents fail to parse, and the interface displays "Document parsing failed". Cause: The documents contain stamping-specific auto-updating fields such as material grade and batch number fields, and the default parsing engine cannot recognize such dynamic field codes.
- Phenomenon: Some tables in uploaded knowledge base documents fail to be chunked, and table row data is missing from chunking results. Cause: The table-aware splitting mode is not enabled, and fixed character chunking rules are used, which causes tables to be forcibly truncated by character length.
- Phenomenon: After deploying MinerU, a video memory overflow error is reported, and GPU information cannot be detected. Cause: The CUDA version does not match the compatible version of MinerU, and the GPU driver directory is not correctly mounted in the FastGPT container, so the service cannot call graphics card resources.
How to confirm the configuration is correct
- Upload a typical stamping work instruction docx document, and check that the parsed text retains complete work steps and specialized fields such as mold numbers.
- Upload a multi-page PDF material utilization sheet document, and check that chunking results split by table pages, with no broken table rows or missing fields.
- Upload a 100 MB mold inspection log archived file, and check that parsing progress completes within 600 seconds with no timeout errors triggered.
- Check the FastGPT v4.17.0 container logs, confirm that the GPU driver is correctly detected, and that the MinerU service does not report video memory insufficient or device not found errors.
The values listed here are common starting points, and should be evaluated against the reader’s own samples.