What This Category of Data Looks Like
Coal transportation and marketing business data primarily originates from paper or electronic documents such as weigh slips, purchase and sales contracts, settlement ledgers, and transportation vehicle dispatch orders. Data is updated daily, with new records created for each transportation and marketing transaction. Electronic documents are mostly fixed-format Excel spreadsheets and standard PDF contracts. Excel fields include weigh slip number, coal type, gross weight/tare weight/net weight (unit: ton), unit price (unit: yuan/ton), settlement amount (unit: yuan), sender and receiver information, and more. PDF contracts contain clause text and structured tables.
Constraints on Document Parsing and Chunking
The structured document characteristics of coal transportation and marketing business create multiple constraints for parsing and chunking. In fixed-format Excel and PDF documents, data for a single transaction is concentrated in consecutive table rows or paragraphs. Chunking must avoid splitting related fields of the same transaction to prevent semantic breaks. A large volume of daily batch-generated business documents requires the parsing process to adapt to single-file size limits and timeout restrictions, to avoid interruptions during batch uploads. Fields have clear physical units. After chunking, the binding relationship between units and corresponding values must be retained to ensure complete data semantics during subsequent retrieval.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | The total length of structured fields for a single coal transportation and marketing business transaction falls mostly within this range, avoiding splitting related data of the same transaction |
chunkSplitter | Split by table row/paragraph | Coal transportation and marketing documents are mostly structured tables. Splitting by table row can retain complete field associations for a single business transaction, preventing semantic breaks |
customPdfParse | Enabled | Coal transportation and marketing PDF contracts mostly use fixed formats. Enabling custom PDF parsing can accurately extract tables and clause text, improving parsing completeness |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single-batch batch-uploaded transportation and marketing ledger Excel files mostly do not exceed this size, adapting to batch processing needs |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large transportation and marketing ledger files take longer to parse. This duration avoids timeout interruptions during batch parsing |
chunkSettingMode | Manual configuration | Coal transportation and marketing documents have fixed structures. Manually configuring chunking parameters can accurately match business data characteristics, which is better than automatic chunking |
Three Common Misconfigurations
- Symptom: Parsing interrupts mid-process when uploading large batches of transportation and marketing ledger Excel files. Restarting Docker does not resume parsing. Cause: The
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSparameters were not adjusted. Interruptions occur when single files exceed size limits or parsing time exceeds default thresholds, and batch processing resource configurations were not adapted. - Symptom: After uploading a weigh slip Excel file, no parsing progress displays in the dialog box, and no error logs appear in the backend. Cause: The corresponding structured document parsing configuration was not enabled. The default parsing mode cannot recognize structured table fields in Excel, resulting in parsing failure.
- Symptom: The model returns only generic content without referencing uploaded transportation and marketing data. Cause: The
chunkSizesetting is too small, splitting complete fields of a single transportation and marketing transaction. This prevents matching complete business context during retrieval.
How to Verify Proper Configuration
- Upload a single standard weigh slip Excel file. Check if all structured fields are fully extracted in the parsed text, and verify that no cross-business row splits or field losses occur.
- Upload up to 10 small transportation and marketing documents. Check if the parsing queue proceeds normally with no timeout errors, confirming that the parameter settings adapt to the current document scale.
- Submit a retrieval request that includes specific coal type and tonnage. Check if the returned results contain corresponding business data from the uploaded documents, verifying that chunking retains field association semantics.
- Test adjustments to chunking strategy parameters. Compare retrieval effects across different splitting methods, and confirm the configuration scheme that matches the current document structure.
The values listed here are common starting points. They should be evaluated 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.