This document is written based on FastGPT v4.17.0.
What This Category of Data Looks Like
Typical data comes from design documents, standard instrument monitoring data, calibration software outputs, laboratory information systems, and customer range requirements. Daily documents include assembly and commissioning sheets, calibration procedures, original calibration records, error curves, metrology certificates, and software version logs. Data is updated to generate exclusive documents for each device after every calibration. Fields include measured values (such as Pa, ℃, ppm), calibration dates, traceability numbers, error calculation results, and qualification judgment markers.
Constraints on Document Parsing and Chunking
Documents in this category include structured tables, curve charts, plain-text procedures, and other formats. Each document is tied to exclusive calibration information for a single device. Chunking must avoid breaking the traceability chain and critical metrology fields. Frequently updated exclusive documents require parsing workflows that support batch single-document processing. If key fields in error curves or metrology certificates are split, subsequent searches cannot associate complete calibration information. This may lead to failed metrology audits. Some calibration certificates are formatted PDF documents. Precise extraction of hidden calibration parameters is required to avoid parsing omissions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | This category of documents includes error curve data and metrology certificate fields. This value range prevents splitting of critical traceability numbers or consecutive measured value records |
chunkSplitter | Separate by paragraph + table header | Calibration procedures have structured headers, and original records include table blocks. This rule preserves the logical structure of documents and avoids splitting the same calibration data across structures |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Single calibration records may include multiple pages of error curves. Parsing such documents takes longer. This value range prevents parsing interruptions due to timeout |
customPdfParse | Enabled | Some calibration certificates are watermarked or encrypted PDFs. Enabling custom parsing allows extraction of hidden traceability fields and calibration parameters |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Matches the maximum common size of single calibration documents in this category, prevents upload failures |
chunkSettingMode | Manual configuration | Different document types (procedures, records, certificates) require differentiated chunking parameters. Manual configuration supports multiple types of business documents |
Three Common Configuration Errors
- Symptom: Conditional judgment components return empty fields after processing parsed boolean parameters. Cause: The parsing process failed to correctly identify qualification judgment markers in calibration records. Chunking split the context of associated fields, leading to parameter loss.
- Symptom: Online environment throws error
Cannot redefine property: toString. Cause: Custom PDF parsing attempts to modify built-in object prototypes. Failure to use the standard parsing hooks provided by FastGPT causes runtime conflicts. - Symptom: Retrieval exceptions occur after the knowledge base exceeds 3000 chunks. Cause: Documents are not split according to the calibration cycle of a single device. Excessive chunks from a single file exceed the system's default processing limit, leading to failure to load chunk data during retrieval.
How to Verify Proper Configuration
- Upload a typical calibration certificate PDF. Check if parsed chunks retain key fields such as traceability numbers and calibration dates, with no split omissions.
- Test a single document containing 3 pages of error curves. Confirm that the number of chunks is within expected limits, and no continuous error data records are split.
- Adjust the
chunkSizeparameter. Compare chunking results across different configurations to ensure key metrology fields are not split across multiple chunks. - Upload the largest document used in business. Confirm that the
UPLOAD_FILE_MAX_SIZEconfiguration matches the document size, with no upload failures.
These values are common starting points. They should be evaluated against available internal samples.