What data for this category looks like
The data for this category primarily comes from road transport administration management systems, the national public service platform for dynamic information of road transport vehicles, and vehicle and practitioner databases. The update frequency is daily. Commonly processed documents include business license application documents, vehicle technical files, driver qualification materials, safety production management systems, road transport business licenses, and similar items. Most document fields include business entity names, vehicle license plates, qualification certificate numbers, business scope clauses, site condition descriptions, and other content. Most document structures are a mix of standardized tables and paragraph text.
What constraints do these characteristics impose on document parsing and chunking
Batch documents updated daily require parsing processes to be reusable and efficient. The mixed structure of standardized tables and paragraph text can cause general chunking logic to split field associations. For example, the binding relationship between a vehicle license plate and its affiliated enterprise may be separated. Fixed approval logic in business license documents requires chunking to retain contextual associations, and avoid splitting content that binds business scope clauses to application entities. Field differences across document types require targeted adjustments to chunking rules, to prevent mixing clauses from safety production management systems with inspection records from vehicle technical files.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the length of paragraphs and table blocks in category documents, avoids splitting core associated fields |
chunkSplitter | Split by paragraph + title | Adapts to mixed-structure documents, retains contextual logic of business license applications, safety management systems, and similar content |
customPdfParse | Enabled | Accurately parses tables and fixed-format fields in standardized PDF documents, avoids text misalignment |
UPLOAD_FILE_MAX_SIZE | 50 MB | Adapts to the per-document limit for batch uploads, matches the typical size of road transport-related documents |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Meets parsing duration requirements for large vehicle technical files or batch application documents |
chunkSettingMode | Manual configuration | Adjusts chunking rules for different document types, adapts to category-specific document structures |
Three Common Mistakes
- Scenario: After uploading an Excel-format vehicle file document, the interface shows parsing failure and prompts that the file format is not supported. Cause: The category-specific file format adaptation rule is not enabled, or the custom parsing supported file types are not configured.
- Scenario: A connection failure error occurs when calling the custom PDF parsing service, and container logs show a connection timeout. Cause: The port mapping for the locally deployed parsing service is not correctly configured, so FastGPT cannot access the parsing process inside the container.
- Scenario: When searching for content related to business licensing, the returned chunked fragments do not include complete approval conditions, and contextual breaks appear. Cause: The
chunkSizesetting value is too small, splitting the complete approval condition paragraph of the business license application.
How to Verify Correct Configuration
- Upload a standardized road transport business license application document, check whether the parsed chunks retain the associated content between the application entity and business scope.
- Batch upload multiple daily category documents, verify that no timeout errors occur in parsing tasks.
- Adjust chunking configuration parameters, compare chunking results across different values, and confirm they match the structural characteristics of category documents.
- Test uploading category data files in custom formats, confirm that the parsing service can correctly read document fields.
The values provided here 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.