What the data for this category looks like
This category involves entities including civil affairs bureau assistance sections, sub-district and township civil affairs offices, community neighborhood committees, and resident family economic status verification centers. Daily processed documents include minimum living allowance application forms, family economic status verification reports, household survey forms, democratic appraisal records, public notice materials, and assistance approval forms. Data primarily comes from the low-income population dynamic monitoring platform, resident family economic status verification system, 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. Core processing fields cover family income and property details, family member relationships, basis for assistance eligibility determination, and other items. Formats and structures vary significantly across different documents.
How these characteristics constrain the document parsing and chunking workflow
Monthly updated batch documents require parsing and chunking workflows to support batch processing, avoiding the inefficient mode of handling single-household documents individually. Multiple document types with large structural differences require parsing to adapt to different formats, including scanned PDFs, Word documents with tables, and handwritten entry forms. The integrity of core fields directly affects assistance eligibility determination. Chunking must not split context units that include family income and member relationships. Cross-department shared data has inconsistent formats, so the parsing link must support different field names and structures to ensure field alignment during ledger summary. Error consequences include incorrect eligibility approvals, missed approvals, and recovery of assistance funds. Parsing accuracy must meet strict business audit standards.
How to set configurations
In FastGPT v4.17.0, the following configuration items can be adjusted for this category scenario:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Documents contain complete income and member information units for a single household. This length avoids splitting critical business fields while meeting conventional vectorization processing requirements |
chunkSplitter | Split by paragraph + title | Daily documents have multiple structures such as minimum living allowance application forms and household survey forms. Splitting by paragraph and title preserves the integrity of business logic |
customPdfParse | Enabled | Most submitted documents are non-standard scanned PDFs or PDFs with tables. Enabling custom parsing accurately extracts table content and handwritten fields |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Monthly batch uploaded multi-household documents have large combined volume. This duration covers the complete parsing process for multi-page documents |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to the upload needs of multiple documents for monthly batch summary, avoiding batch task failures due to volume limits |
Three common misconfigurations
- Phenomenon: Parsed family income fields are empty. Cause:
customPdfParsewas not enabled, so table format content in the minimum living allowance application form cannot be accurately identified. - Phenomenon: Document parsing API calls return timeout errors. Cause:
PARSE_FILE_TIMEOUT_SECONDSwas not adjusted to a duration suitable for batch documents, leading to timeout when parsing a single multi-page summary document. - Phenomenon: Chunking results lose member relationship association information. Cause:
chunkSizewas set too small, splitting continuous context paragraphs that include member relationships and family income.
How to confirm the configuration is correct
- Upload a single minimum living allowance application form PDF, check if the parsed text completely extracts core business fields such as family income and member information.
- Call the document parsing API, verify that the returned chunking results include complete business logic units, with no critical fields split.
- Adjust the
chunkSizeparameter, compare chunking integrity across different values to determine a reasonable setting suitable for the current document structure. - Upload monthly batch summary documents, check if the parsing and chunking workflows complete within the preset duration, with no timeout or parsing failure errors.
The values listed above are common starting points and should be evaluated against the samples used in the specific deployment.
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.