Reference only; verify against the target FastGPT release and deployment documentation.
What the Data for This Category Looks Like
Daily documents for this category include maintenance plans, patrol logs, defect disposal forms, road construction permits, road damage compensation forms, and similar materials. Data sources are mostly highway maintenance management systems, bridge and tunnel monitoring systems, road patrol systems, and traffic flow monitoring tools, with business data updated in batches daily. Documents mix structured tables and unstructured text. Fields mostly include identification and status information such as facility numbers, defect types, disposal process nodes, and permit numbers. Document formats exported from different systems vary.
What Constraints Do These Characteristics Impose on the Document Parsing and Chunking Link
Since data comes from multiple systems and is updated in batches daily, document formats are inconsistent. The parsing link must adapt to batch documents with mixed formats. Patrol logs and defect disposal forms have strong business correlation. Chunking must avoid splitting associated content from the same work order, otherwise complete business processes cannot be matched during retrieval. Some documents contain high-resolution patrol images and complex tables. Parsing must retain original structural information, otherwise key data will be lost. The volume of batch documents uploaded in a single operation is large. Single-file parsing duration must be controlled to avoid task timeouts.
How to Configure the Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the length of single-segment business descriptions in maintenance logs and defect disposal forms, avoids splitting associated content across work orders |
chunkSplitter | Split by paragraph + heading | Matches structured structures such as maintenance plan chapters and patrol log entries in documents |
customPdfParse | Enabled | Adapts to PDF documents exported from systems with fixed headers, retains table column alignment and image annotation information |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Addresses parsing time consumption for batch bridge and tunnel monitoring PDFs and high-resolution patrol image documents |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports uploading batch patrol log documents for an entire month in a single operation |
chunkSettingMode | Manual configuration | Adjusts chunking rules for different document types such as road construction permits and road damage compensation forms |
Three Common Mistakes
- After uploading batch patrol logs, knowledge base retrieval results only return partial document content and do not cover complete business entries. Cause: The
chunkSizeparameter was not adjusted, and the default chunk length is too short, causing associated content from the same work order to be split into different chunks. - After importing a defect disposal form with multiple tables, table cell content is scattered into fragmented text and cannot match the complete disposal process. Cause:
customPdfParsewas not enabled, and the default parsing logic does not retain table structure information. - After configuring the document parsing link, some large road construction permit documents are not indexed, and task logs show timeout errors. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and the default duration is insufficient to complete parsing of documents with complex formats.
How to Confirm Configuration Is Complete
- Upload a single defect disposal form document, view the parsed text chunks, and confirm that table content is presented as complete cell groups and is not scattered.
- Upload batch monthly patrol log documents, wait for parsing to complete, and check that there are no timeout errors or format parsing failure prompts in the task logs.
- Retrieve content containing a specific highway facility number, and confirm that the returned text chunks include the complete patrol record and disposal process corresponding to that facility.
- Adjust the
chunkSizeparameter to different ranges, compare the coverage of retrieval results, and confirm that associated business content is not overly split.
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.