What this category of data looks like
The core data for this category comes from daily documents of enterprise metrology rooms and CNAS system laboratories, including gauge ledgers, calibration plans, calibration certificates, test raw records, reference material ledgers, and deviation handling documents. Data sources cover metrology management systems, external calibration institution certificates, LIMS systems, and environmental monitoring equipment. Updates are triggered by calibration cycles, completion of single tests, or exception events. Most documents are structured tables and formatted reports, containing fields such as gauge numbers, calibration values, measurement uncertainties, traceability numbers, and validity periods, with metrology-specific units including mm, mg, and hours.
What Constraints Do These Characteristics Impose on the Document Parsing and Chunking Link?
This category has a high proportion of structured documents, and includes strongly correlated metrology-specific fields and units. Document parsing and chunking must adapt to table structures, and avoid splitting critical parameter groups across columns. Data updates have no fixed batch size; a single update may only cover the calibration record for one gauge. Chunking must support precise matching of complete information for a single instrument. Content related to traceability chains must maintain contextual coherence, otherwise it will affect the completeness of evidence during subsequent retrieval. Some reports include detailed derivations of measurement uncertainties, and the binding relationship between formulas and parameters must be retained; chunking must not destroy these logical associations.
The following configurations are based on FastGPT v4.17.0.
How to Set the Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | This category of documents includes structured tables and metrology parameters. This range can retain complete calibration information for a single gauge, and avoid splitting critical parameter groups |
chunkSplitter | markdown | Most documents in this category are formatted reports and structured tables. Markdown chunking can retain table structures and title hierarchies |
customPdfParse | Enabled | Most calibration certificates in this category are in PDF format. Custom PDF parsing can retain column associations of original tables, and avoid content misalignment |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Some calibration certificates include multi-page detailed derivation content, and sufficient time is required to complete full parsing |
chunkSettingMode | Manual configuration | Documents in this category have large structural differences. Manual configuration allows flexible adjustment of chunking rules to adapt to different types of metrology documents |
Three Common Mistakes
- Phenomenon: After uploading a structured Excel table, only the first two columns of content are recognized, and the remaining column fields are empty. Cause: The full-column table parsing configuration is not enabled, and the default chunking logic only extracts the first two columns as question-answer pairs.
- Phenomenon: When parsing large calibration certificates, the task times out and fails, and the interface displays a parsing timeout status. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the default timeout duration is insufficient to complete full parsing of multi-page PDFs. - Phenomenon: When searching for keywords related to traceability chains, complete instrument usage and calibration history cannot be associated. Cause: Chunking splits traceability-related content across paragraphs, and parameter groups with coherent context are not retained.
How to Confirm the Configuration Is Correct
- Upload a single gauge calibration certificate PDF, check the parsed text structure, and confirm that table columns match the original document.
- Adjust the
chunkSizeparameter, check the chunk preview, and confirm that complete calibration information for a single instrument is not split. - Upload a batch of structured Excel ledgers, check whether parsed fields cover all columns without omissions.
- Search for keywords related to traceability chains, and confirm that returned chunked content includes complete associated parameters.
The values provided are common starting points and should be measured against the reader's own samples.