What this category of data looks like
This category of data comes from work safety supervision systems, enterprise hazard self-inspection systems, law enforcement inspection records, and accident statistics systems, with a daily update frequency. Daily documents include hazard inspection checklists, hazard management ledgers, rectification notices, review records, and major hazard suspension and supervision orders. Most document structures are tabular checklists and process record texts, with core fields including hazard level, rectification responsible person, rectification deadline, review result, and other key information.
What constraints do these characteristics impose on the "document parsing and chunking" link
Batch documents updated daily require batch processing compatible with multiple formats, to avoid parsing timeout for single files. Tabular hazard checklists require accurate extraction of cell fields, to prevent loss of field associations caused by chunking destroying table structures. Process record texts need to retain the contextual association of the rectification closed-loop, and must not sever the corresponding relationship between rectification responsible persons and deadlines. Long-text law enforcement inspection records and supervision orders require precise splitting, to ensure binding between policy basis and corresponding hazard items, meeting the contextual association requirements for policy Q&A.
How to set the configuration
Reference configurations for FastGPT v4.17.0 are as follows:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapt to the field and paragraph lengths of documents such as hazard checklists and rectification notices, ensuring complete binding between policy basis and hazard items |
chunkSplitter | Split by paragraph + title | Match the chapter structure of process record documents, retaining the contextual association of the rectification closed-loop |
customPdfParse | Enable table enhancement mode | Accurately extract table fields from hazard checklists, preventing incorrect splitting of cell content |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapt to daily batch parsing of long documents, preventing timeouts caused by the lengthy length of law enforcement records and supervision orders |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Accommodate batch-uploaded multi-document packages exported from enterprise self-inspection systems |
chunkSettingMode | Manual configuration | Adjust chunking parameters for different document types (checklists, records, supervision orders) to meet the contextual requirements of policy Q&A |
Three common misconfigurations
- Symptom: Parsing fails after uploading a PDF-format hazard rectification notice, returning
{"detail":"Error message"}. Cause: The table enhancement mode ofcustomPdfParseis not enabled, causing the hazard checklist table embedded in the PDF to fail to be parsed correctly. - Symptom: Some parsing tasks time out after batch uploading multiple law enforcement inspection records. Cause: The value set for
PARSE_FILE_TIMEOUT_SECONDSis lower than the parsing time required for a single long document, failing to adapt to the total duration requirements of batch processing. - Symptom: After importing an XLSX-format hazard inspection checklist, fields in multi-row tables are incorrectly split, making it impossible to associate corresponding hazard items. Cause: The
chunkSplitterconfiguration is not adjusted for tabular documents, and the default chunking logic destroys the cell association of the table.
How to confirm the configuration is correct
- Upload a single hazard rectification notice PDF, check whether the parsed text completely retains fields such as hazard level and rectification responsible person in the table.
- Batch upload 3 to 5 law enforcement inspection records, confirm that all tasks complete parsing within the preset duration.
- Import an XLSX-format hazard inspection checklist, verify that the chunked text retains complete field association for each row of the table.
- Initiate a policy basis Q&A test, confirm that the hazard items referenced in the response can be matched to the chunked content of specific documents.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.