What this category's data looks like
Core data for this category comes from the road transport administration system, the national public service platform for dynamic information of road transport vehicles, and the vehicle and practitioner database. The update frequency is daily. Documents processed daily include business license applications, vehicle technical files, driver qualification materials, safety production management systems, road transport business licenses, and similar materials. Most documents contain structured fields such as vehicle license plates, qualification certificate numbers, and safety system clauses. Some documents present application materials and archive content in table form.
What constraints do these characteristics impose on the document parsing and chunking link
Daily updated data requires the parsing process to have high timeliness, to avoid delaying approval progress due to parsing delays. Structured documents and table content require chunking rules to retain the integrity of business fields. Content across business modules must not be merged into a single chunk. Large-volume vehicle technical files and multi-page application materials will increase parsing time, so processing capacity for single files must be adapted. Parsing errors will directly reduce the confidence of policy Q&A and lead to licensing approval mistakes, so the accuracy and consistency of chunking must be ensured.
Configuration settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapt to the field length of road transport licensing documents, avoid splitting content across business modules |
chunkSplitter | By paragraph + custom delimiter | Adapt to documents containing tables and application forms, split by line breaks and field delimiters for license applications |
customPdfParse | Enable structured parsing | Extract table fields from vehicle technical files and practitioner qualification materials to avoid content confusion |
UPLOAD_FILE_MAX_SIZE | 100 MB | Adapt to the size of multi-page licensing application materials submitted by a single enterprise |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Accommodate parsing time for 10+ MB Word documents, avoid timeout failures |
chunkSettingMode | Manual mode | Customize chunking rules based on the structured characteristics of road transport documents |
Three common misconfigurations
- After uploading an Excel-format business license application form, a single knowledge base entry combines multiple lines of content. The symptom is redundant information across application forms during retrieval. The cause is that custom delimiters matching the line break rules of Excel single rows were not configured.
- When uploading a 10+ MB Word-format vehicle technical file, the parsing task times out and fails. The symptom is a parsing timeout status displayed on the interface. The cause is that the
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted to a duration suitable for large files. - Parsing fails when uploading a CSV-format practitioner database file. The symptom is no parsing result after file upload. The cause is that the supported file type coverage was not verified.
How to verify correct configuration
- Upload a single 10 MB-scale Word-format vehicle technical file, confirm parsing duration meets expectations and no timeout prompt appears.
- Upload an Excel-format business license application form, confirm chunking results generate independent entries based on single-line content.
- Enable the structured parsing switch, verify that table fields in vehicle technical files are correctly extracted as independent chunks.
- Test retrieval of a specific driver qualification information, confirm that the retrieval result does not contain redundant content across business modules.
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.