What Data for This Category Looks Like
Data for this category comes from daily business documents of civil affairs bureau relief departments, sub-district and township civil affairs offices, community committees, and verification centers. These documents include minimum living security application forms, family economic status verification reports, household survey forms, democratic appraisal records, public notice materials, and assistance approval forms. Data sources include low-income population dynamic monitoring platforms, resident family economic status verification systems, and cross-department shared data from public security, human resources and social security, medical insurance, housing and urban-rural development, and tax authorities. The update frequency is monthly. Most documents are forms, tables, or mixed text-and-image structures. Fields include family income, property status, member relationships, approval progress, and other details. There is no unified fixed format. Some documents include handwritten annotations or scanned copies.
Constraints Imposed by These Characteristics on Document Parsing and Chunking
Cross-department shared data has diverse sources and inconsistent formats. The parsing module must support scanned documents, forms, tables, and mixed text-and-image documents. Monthly batch-updated business documents require stable parsing processes that meet efficiency requirements and avoid timeouts or interruptions. Form and table documents must accurately identify field correspondences. Chunking must not damage the integrity of core fields such as family income and member relationships. For mixed text-and-image public notice materials, the association between original images and text must be retained. Directly converting image content to OCR text and losing the original image must be avoided. For household survey forms with mixed handwritten annotations and printed text, the parsing logic must adapt to mixed content to ensure key information is not lost.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the paragraph length of core fields such as family income and member relationships in documents of this category, avoiding splitting key information |
chunkSplitter | Split by paragraph and table | Matches the mixed form and table structure of documents in this category, ensuring complete field association after chunking |
customPdfParse | Enable image-text separation mode | Adapts to mixed text-and-image content in public notice materials, retaining the association between original images and corresponding text |
UPLOAD_FILE_MAX_SIZE | 500 MB | Covers large cross-department shared documents updated monthly in batches, avoiding upload failures |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to parsing time across multiple document types, avoiding timeout interruptions during batch processing |
chunkSettingMode | Manual configuration | Flexibly adjust chunking rules and parsing parameters for the non-uniform formats of documents in this category |
Three Common Mistakes
- Issue: Importing PPT or DOC documents and enabling PDF enhancement results in no parsing effect. The interface shows parsing failure or empty content. Cause: The PDF enhancement function only supports PDF format documents. The corresponding parsing logic is not enabled for other office documents.
- Issue: Images in parsed documents are converted to OCR text, and the original image format cannot be retained. Cause: The image-text separation mode of
customPdfParseis not configured correctly. Full OCR parsing is enabled by default. - Issue: The sheet name of Excel-format family economic status verification reports is not extracted after parsing. Only the content of the default first worksheet is returned. Cause: The sheet recognition configuration for table documents is not enabled. Multi-sheet information is ignored by default.
How to Verify Proper Configuration
- Upload a single minimum living security application form document, check the parsed chunking results, and confirm that core fields are not split.
- Upload a public notice material document that includes images, check if the parsed result retains the association between original images and corresponding text.
- Upload an Excel-format family economic status verification report, confirm that all sheet names are correctly identified and extracted.
- Upload batch documents updated monthly, monitor the parsing task duration and success rate, and confirm that no timeouts or failures occur.
The values provided are common starting points. They should be evaluated against the applicable 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.