What the data for this category looks like
Daily documents for this category include maintenance plans, inspection logs, defect disposal reports, road construction permits, and road damage compensation forms. Data sources are highway maintenance management systems, bridge and tunnel monitoring systems, road patrol systems, and traffic flow monitoring data. Update frequency is daily. Most documents are structured tables or semi-structured text. Fields include road section number, inspection time, defect type, disposal result, permit number, and more. Some documents include geographic coordinates and quantitative maintenance parameters.
What constraints do these characteristics impose on the document parsing and chunking step
Multi-source documents updated daily have significant format differences. They include structured table-based documents such as inspection logs and defect disposal reports, as well as long-text documents like maintenance plans and permit files. Chunking must avoid cutting off key associated information such as cross-page permit numbers and geographic coordinates. Fields and quantitative parameters in semi-structured documents must be retained in bound pairs. Chunking cannot split the combination of road section numbers and corresponding defect descriptions. Documents imported from multiple systems have inconsistent formatting. The parsing link must adapt to different text layout logic, otherwise field misalignment or content loss may occur. High-frequency updated batch documents increase parsing pressure. The parsing duration per document and the load of the overall processing queue must be controlled to avoid processing blocking.
How to configure settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the field length of semi-structured inspection logs and defect disposal reports, and avoids splitting key information combinations |
chunkSplitter | Paragraph + semantic boundary | Adapts to long-text documents such as maintenance plans and road construction permits, retains semantic integrity, and is compatible with the structure of table-based documents |
customPdfParse | Enabled | For PDF documents such as road construction permits and official maintenance plans, retains the original document layout and field associations |
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapts to batch-imported inspection log summary files and historical data exported from multiple systems |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Ensures that long-text maintenance plans and complex PDF documents can be fully parsed |
chunkSettingMode | Semi-automatic mode | Allows adjustment of chunking parameters for different document types such as inspection logs and permit files, to adapt to multi-format data |
Three common configuration errors
- Symptom: After importing an Excel file exported from the road patrol system, the data processing result is empty. Cause: No parsing rules for structured tables are configured. The system defaults to splitting as plain text, leading to field misalignment and content loss.
- Symptom: After batch importing multiple days of inspection logs, vectorization processing takes too long. Cause: The
chunkSizeparameter is not adjusted. Excessively long chunk lengths lead to excessive embedding calculation load per chunk. - Symptom: When asking policy-related questions, some clauses of road construction permits are not retrieved. Cause: Chunking cuts off the association between permit numbers and corresponding clauses, leading to broken semantic connections.
How to confirm correct configuration
- Upload a single road construction permit PDF, and verify that the parsed text retains the correspondence between permit numbers, applicant units, and clauses.
- Import a batch of inspection log Excel files, and confirm that the parsed fields correspond one-to-one with the original document headers, with no misalignment or missing content.
- Upload a single long-text maintenance plan, and check that the chunked content does not cut off key paragraphs and data parameters.
- Adjust
PARSE_FILE_TIMEOUT_SECONDSto 600 seconds, then upload the maximum-size test file, and confirm that no timeout error occurs during parsing.
The values listed are common starting points and 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.