What the Data for This Category Looks Like
Personnel policy Q&A data primarily comes from internal personnel system compilations, official stamped documents, annually updated compensation and benefits rules, leave management guidelines, and similar documents. The data update rhythm is quarterly or annually, with some temporary policies updated alongside notifications. Most documents are in PDF or Word format, and include hierarchical headings, clause numbers, tables such as compensation tables and leave comparison charts, mathematical formulas such as social security contribution calculation formulas. Fields include policy number, effective date, applicable scope, and specific clause content. Effective dates are tracked by year, month, and day. Policy numbers follow fixed prefix and numbering rules.
Constraints for Document Parsing and Chunking
Personnel policy documents’ long text and complex formatting create multiple constraints for parsing and chunking. Hierarchical clause structures require chunking to preserve the association between headings and their corresponding clauses, to avoid broken context after splitting. Embedded tables and mathematical formulas cannot be fully extracted by general-purpose text parsing tools, so dedicated parsing modules must be enabled. Large policy compilation files have significant size and long parsing times, so timeout settings need adjustment to avoid interruptions. Frequently updated temporary policies require synchronization processes that support incremental updates, to avoid repeated full-document parsing.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Aligns with the average length of single clauses in personnel policies, avoiding overly fragmented chunks that lose context, or chunks that are too long and cause embedding model processing overflow |
chunkSplitter | Split by heading + paragraph | Preserves the hierarchical structure of policy documents, ensuring each chunk contains a complete clause heading and its corresponding content |
customPdfParse | Enabled | Adapts to the official stamped format, embedded tables, and mathematical formulas in personnel policy PDFs, preventing content loss or corruption after parsing |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Aligns with the parsing time of large policy compilation PDFs, avoiding parsing failures due to timeout |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports uploading complete annual personnel policy compilation files in a single operation, preventing blocking due to oversized files |
chunkSettingMode | Manual mode | Allows adjustment of chunking rules for different types of personnel policy documents, adapting to policy files with special formatting |
Three Common Mistakes
- Issue: After deploying FastGPT v4.17.0 locally, parsing formulas in personnel policy PDFs returns abnormal content. Cause: The
customPdfParseconfiguration is not enabled, or the integrated Marker version does not match the FastGPT version, and the OCR module is not loaded correctly. - Issue: After uploading a personnel policy PDF, the chunk preview prompts that the file content cannot be read. Cause: The file exceeds the
UPLOAD_FILE_MAX_SIZEsetting, or thePARSE_FILE_TIMEOUT_SECONDSsetting is too short, causing parsing to interrupt. - Issue: After deploying Marker, parsing logs show ocr error. Cause: OCR dependency packages are not installed, or the resolution of image-based PDFs is too low to complete the text extraction process.
How to Confirm Configuration Is Correct
- Upload a personnel policy PDF containing tables and mathematical formulas, and check if the chunk preview fully retains the table structure and formula content.
- Upload a policy compilation file larger than 500MB, and confirm that the upload and parsing process does not trigger timeout errors.
- Review the parsing logs to confirm that no ocr error related error messages appear.
- Adjust the
chunkSizeparameter, and verify that the chunked content does not have cross-clause splits, with each chunk containing a complete policy clause.
The values provided are common starting points and should be evaluated against the user’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.