What the data for this category looks like
Core data for this category comes from flow, pressure, temperature, and analytical instrument manufacturers, as well as metrology laboratories. Daily documents include assembly and commissioning sheets, calibration procedures, original calibration records, error curves, metrology certificates, and software version logs. Data sources cover design documents, standard instruments and environmental monitoring data, calibration software, laboratory information systems, and customer range requirements. New documents are generated after each calibration for every instrument, creating an update frequency tied to individual calibration events. Documents include structured fields such as traceability number, calibration date, and error values with professional units like Pa, ℃, ppm. Some documents also include visual error curves.
What constraints these characteristics impose on the document parsing and chunking link
Mixed document types require parsing tools to support plain text procedures, structured table records, and metrology certificates with curves, to avoid splitting critical traceability information. High-frequency document updates require lightweight parsing processes to reduce per-document processing time. The strong correlation between professional units and traceability numbers means chunking must not break field integrity. Failure to do so will reduce the accuracy of subsequent Q&A and may lead to metrology audit failures. Visual error curve content requires the parsing link to retain the association between images and corresponding text, ensuring complete presentation of calibration results.
Configuration settings
Configuration options under FastGPT v4.17.0 are listed below:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Matches the length of core single-segment content in calibration procedures and records, avoiding splitting of traceability numbers and error data |
chunkSplitter | Split by paragraph + table | Covers multiple document types including text procedures, error tables, and curve descriptions, retaining context association |
customPdfParse | Enabled | Retains structured fields in metrology certificates and the image-text association of error curves, preventing format loss during OCR |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Single calibration archive packages may include multiple pages of error curves, adapting to the time requirements of batch parsing |
UPLOAD_FILE_MAX_SIZE | 500 MB | Supports batch upload of multiple associated calibration archives, meeting daily laboratory archiving needs |
chunkSettingMode | Manual configuration | Adjusts chunking boundaries for traceability fields separately, ensuring key information is not split |
Three common errors
- Phenomenon: Structured table fields are empty and error data is lost after parsing. Cause:
customPdfParseis not enabled, and the default parsing logic does not retain column associations and professional unit information of tables. - Phenomenon: The knowledge base parsing status stays at "Parsing" for a long time, and finally triggers a timeout error. Cause:
PARSE_FILE_TIMEOUT_SECONDSis not adjusted, and a single multi-page calibration archive package exceeds the default timeout limit. - Phenomenon: The uploaded error curve PDF cannot be associated with corresponding calibration parameters, and Q&A cannot return complete results. Cause: The image recognition parameters of
customPdfParseare not configured, or the model's image recognition capability is not enabled.
How to confirm the configuration is correct
- Upload a single calibration procedure document, and check if the parsed chunk content retains complete traceability numbers, calibration dates, and professional unit fields.
- Batch upload multiple associated calibration archive packages, and check if the parsing status updates according to the actual progress, with no abnormal timeouts or error prompts.
- Perform searches related to process specifications and technical standards, and confirm that error curves and corresponding calibration parameters for a single instrument can be accurately located.
- Verify that the parsed chunk content retains the original document structure, with no field splitting or information loss.
The values provided are common starting points and should be evaluated against the reader's own samples.