What this category of data looks like
Data for this category originates from the road transport administration system, the national road transport vehicle dynamic information public service platform, and the vehicle and practitioner database. The update frequency is daily. Commonly processed documents include business license application materials, vehicle technical files, driver qualification materials, safety production management systems, and original and duplicate copies of road transport business licenses. Most documents are structured application forms, semi-structured archive records, and plain text policy documents. Fields include business entity information, vehicle parameters, practitioner qualifications, business scope, site conditions, and other details. No unified fixed format template exists. Some documents require cross-system integration to extract data.
Constraints imposed on the document parsing and chunking link
Since data sources span multiple systems and update daily, documents must integrate multi-source data in real time. The parsing link must support cross-file associated extraction. Commonly used document formats vary widely: they include application forms with fixed fields and free-text safety policies. Chunking must balance accurate extraction of structured fields and semantic coherence of unstructured text. Documents such as vehicle technical files and driver materials contain many repeated fields, such as entity name and vehicle license plate number. Chunking must avoid redundant cutting that causes semantic breaks. At the same time, approval processes have high requirements for data accuracy. Parsing failure will directly block the license application process, so fault-tolerance mechanisms must be configured to handle documents with non-standard formats.
How to configure the settings
This configuration follows the parameter rules of FastGPT v4.17.0, with the following specifics:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the semantic length of semi-structured archives and plain text policy documents in this category, avoiding semantic breaks after cutting |
chunkSplitter | Split by paragraph + title | Adapts to multi-format documents, retaining the chapter logic of vehicle technical files and safety policies |
customPdfParse | Enabled | Meets parsing needs for scanned documents or non-standard PDF formats such as road transport business licenses |
UPLOAD_FILE_MAX_SIZE | 500 MB | Accommodates cross-system document packages integrated in a single batch, meeting bulk import requirements for ledger summary |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Adapts to time consumption for multi-document batch parsing, avoiding parsing interruptions for large archive packages |
chunkSettingMode | Manual configuration | Flexibly adjusts chunking rules for the diverse formats of documents in this category |
Three common configuration errors
- Poor parsing results occur after importing PPT, DOC and other documents, with only PDF formats parsing normally. The cause is that general parsing adaptation is not enabled for non-PDF documents, and only the PDF enhanced parsing engine is invoked.
- Knowledge base Excel file import fails, and CSV format only recognizes two columns of data. The cause is that custom parsing rules are not configured to adapt to multi-column structured tables, and the default parsing logic only supports the basic two-column format.
- Parsed chunk results contain empty fields or redundant duplicates. The cause is that
chunkSizeis set incorrectly, leading to structured fields being split apart, or the title-based chunking rule is not enabled.
How to verify correct configuration
A single vehicle technical file PDF is uploaded. The parsed text is checked to confirm core fields are fully retained, and chunks are verified to be split according to chapter logic. A multi-format document package is batch imported. The uploaded file size is checked to confirm it does not exceed the preset limit, and no timeout errors are detected during the parsing process. The chunkSize parameter is adjusted. Chunk results across different values are compared, and semantic coherence is confirmed to be maintained with no excessive cutting. An Excel format practitioner database file is imported. The parsed data columns are checked to confirm they match the field structure of the original document.
The values listed here are common starting points and should be validated against local sample documents.
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.