What data for this category includes
Data for this category originates from social insurance management systems, tax social insurance premium collection systems, market entity registration information, and shared public security and civil affairs data. It is updated daily. Commonly processed documents include enrollment registration forms, payment base declaration forms, personnel change forms, social insurance premium verification forms, and personal social insurance benefit records. Most documents are structured tables or fixed-format text. Fields include unit identifiers, personnel identity information, payment bases, verified amounts, and other relevant data. Some documents require cross-source data association across multiple systems.
What constraints apply to document parsing and chunking
Cross-source data association across multiple systems requires that document chunks retain contextual links between fields. Do not split linked personnel identity and payment verification items that span pages. Daily updated documents must work with batch parsing workflows to avoid parsing timeouts. Structured table documents must preserve cell correspondence. Misalignment of payment base or personnel change information will occur if cell correspondence is lost. Fixed-format text must be split by paragraph logic to keep policy clauses bound to corresponding payment verification items. Documents submitted by employers have inconsistent formats. The system must support personnel change tables with multiple layouts to prevent parsing failures from format differences.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the length of structured documents and policy text for this category, avoids splitting critical linked fields |
chunkSplitter | Split by paragraph + heading | Matches the heading hierarchy and paragraph logic of enrollment registration and payment verification documents |
customPdfParse | Enable structured table parsing mode | Adapts to the table formats of large numbers of social insurance premium verification forms and personnel change tables for this category |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Addresses time requirements for batch cross-system document parsing, avoids timeout errors |
UPLOAD_FILE_MAX_SIZE | 100 MB | Supports batch summary personnel change documents submitted by employers |
chunkSettingMode | Manual configuration | Adapts to scenarios where document formats vary widely for this category, allows flexible adjustment of chunking rules |
Three common configuration mistakes
- Symptom: No parsing results after uploading social insurance-related PDFs to the knowledge base, or the document parsing tool returns a file read error. Cause: The
customPdfParseparameter is not correctly configured for structured parsing mode, or theUPLOAD_FILE_MAX_SIZEsetting is too small, leading to truncation of large file uploads. - Symptom: Parsed chunk content has misaligned personnel identity information and payment verification items. Cause: The
chunkSizesetting is too small, splitting linked field contexts that span pages or paragraphs. - Symptom: Timeouts occur during batch parsing of daily updated social insurance documents. Cause: The
PARSE_FILE_TIMEOUT_SECONDSsetting value is lower than actual parsing time, failing to adapt to the parsing load from cross-system data association.
How to verify correct configuration
- Upload a single social insurance premium verification form PDF. Check if parsed chunk content retains table cell correspondence.
- Upload batch personnel change table documents. Confirm parsing logs have no timeout errors.
- Adjust
chunkSizeto different ranges. Compare parsed chunks to ensure policy clauses remain bound to corresponding payment items. - Upload a personnel change summary document under 100 MB. Verify no upload failure prompts appear.
This page covers configuration instructions for FastGPT v4.17.0. The values listed are common starting points and should be measured 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.