Reference only; verify against the target FastGPT release and deployment documentation.
What this category of data looks like
Data primarily comes from mineral mining production ledgers, safety inspection records, employee shift schedules, equipment maintenance manuals, and talent files. Update frequencies include real-time (production ledgers), daily (inspection records), weekly (shift schedules), and quarterly (equipment documents). Documents include structured Excel spreadsheets, PDF procedures with chapter numbering, and plain text work records. Fields include employee ID, position number, work duration, equipment ID, and others. Units include tons, hours, and sets.
Constraints for document parsing and chunking
Real-time production ledgers create high-frequency batch upload pressure. Parsing processes must adapt to short-cycle, high-volume file submissions. Structured Excel spreadsheets have heterogeneous multi-column data. Accurate column boundary identification is required to avoid breaking complete work records during chunking. Long safety procedures use continuous chapter numbering. Contextual links between adjacent chapters must be retained during chunking to prevent semantic fragmentation. Talent files have widely varying single-record data volumes. Splitting logic must adapt to fields of different lengths. Equipment maintenance manuals have low update frequency but professional content. Parsing processes must avoid repeated analysis of already processed historical files.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the density of technical terminology and single-record length of mineral mining documents, avoiding semantic fragmentation |
chunkSplitter | By paragraph and chapter boundaries | Matches the structured formatting of safety procedures and inspection records, retaining contextual connections |
customPdfParse | Enabled | Accurately extracts text and formatting information for PDF documents with continuous chapter numbering |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Accommodates large production ledgers and equipment manuals imported in batches, preventing upload failures |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses parsing time for large PDF documents and Excel files with multiple sheets |
chunkSettingMode | Manual configuration | Flexibly adjusts chunking rules for different types of mineral mining documents, adapting to heterogeneous data scenarios |
Three common mistakes
- Phenomenon: After uploading a talent information Excel file, the data processing result is empty. Cause: The system fails to adapt to heterogeneous multi-column data in structured Excel, incorrectly truncating complete employee record fields during chunking.
- Phenomenon: After uploading a large safety procedure PDF, the vectorization step takes longer than expected. Cause: The
chunkSizeparameter value is too large, making single block text length exceed processing load limits. - Phenomenon: After local deployment, no content is returned by the data processing step following the first file upload. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is set too low, terminating parsing before large production ledger files are completed.
How to verify proper configuration
- Upload large mineral mining documents matching the business scenario, confirm that parsing completes normally with no timeout-related errors.
- Upload Excel files with structured formatting, confirm that parsed chunked data fully retains column and row associations from the original table.
- Upload PDF documents with continuous chapter numbering, confirm that chunked text fragments retain contextual logic between adjacent chapters.
- Test batch submission of multiple identical types of documents, confirm that the system shows no abnormal prompts for repeated parsing or upload failures.
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.