What this category of data looks like
Data sources for this category include special equipment safety supervision systems, inspection and testing institution systems, user ledgers, and operator certificate databases. Daily documents include use registration certificates, periodic inspection reports, maintenance records, hidden danger rectification notices, accident reports, and operator certificates. Most documents have fixed chapters and structured tables. Fields include equipment number, inspection validity period, maintenance date, hidden danger number, operator qualification level, and similar items. Units include units, times, date formats, and certificate number identifiers. Update frequency is monthly.
What constraints do these characteristics impose on the "document parsing and chunking" link
Documents from multiple sources have large format differences. There are both structured electronic ledgers and scanned certificates and reports. The parsing link must support multiple file types. Monthly batch updated ledger data has a large volume. Parsing efficiency and stability must be ensured. Tables and images in documents carry core supervision information such as equipment numbers and inspection cycles. The chunking link must retain the contextual association of this information. Business logic breaks must be avoided after splitting. The relevance of core fields directly affects the accuracy of subsequent ledger summary and report generation. Parsing and chunking must prioritize the integrity of core information.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Special equipment documents contain closely linked equipment number and inspection cycle information. This value balances chunk granularity and contextual integrity, and avoids splitting core supervision information. |
chunkSplitter | Split by title + paragraph | Special equipment documents have clear business chapter divisions. Splitting by title preserves the logical independence of each business module, making it easier to integrate data by category during subsequent ledger summary. |
customPdfParse | Enabled | Adapts to the complex format of official special equipment documents. Optimizes recognition effects for scanned documents and PDF files with tables, and reduces the probability of losing image and table content. |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Monthly batch parsed inspection reports usually contain multiple pages. This value reserves sufficient parsing time, and avoids task failure due to timeout. |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to the upload requirements of large accident reports and batch ledger files, and avoids failure to complete the parsing process due to oversized files. |
chunkSettingMode | Manual configuration | For different types of special equipment documents (such as certificates, reports, maintenance records), manually adjusting parameters can achieve more precise chunking effects. |
Three common mistakes
- Issue: After uploading special equipment ledger files, the model cannot read the file content, and the interface displays a parsing failure status code. Cause: The
UPLOAD_FILE_MAX_SIZEparameter is not adjusted. The uploaded large inspection report exceeds the default file size limit, and the upload link is blocked. - Issue: In imported Word-format maintenance records or inspection reports, table and image recognition is incomplete, and content is scattered after chunking. Cause:
customPdfParseis not enabled. The default parsing logic is not optimized for the complex format of official documents, and cannot fully extract table and image information. - Issue: The parsed special equipment report text does not include references field content, which cannot be used for subsequent report generation. Cause: The custom parsing reference field extraction configuration is not enabled. The default parsing logic does not adapt to the additional fields of this type of official document.
How to confirm configuration is valid
Upload a single special equipment periodic inspection report, review parsed text content, and confirm full retention of table and image information. Adjust the chunkSize parameter, batch upload monthly ledger files, and check whether the failure rate of parsing tasks meets expectations. Verify the chunked text blocks, and confirm that the equipment number and corresponding inspection cycle are not split into different blocks. Upload a maintenance record file larger than the default size, confirm that the upload is successful and parsing is completed, and verify that the file size limit configuration takes effect.
The values provided are common starting points and should be evaluated against local 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.