What the data for this category looks like
Core data for this category comes from government centralized payment systems, unified budget management systems, electronic invoice platforms, and contract management systems. The update frequency is daily. Commonly processed documents include payment applications, fund use plans, invoices, contracts, acceptance reports, reimbursement approval forms, payment vouchers, and more. Most documents contain structured fields such as budget indicators, economic classifications, amounts, approval workflow nodes, and acceptance conclusions. Some invoice and contract documents have unstructured graphic and text content, requiring parsing support for multiple format types.
Constraints imposed on document parsing and chunking
Batch documents updated daily require parsing and chunking processes to have stable batch processing capabilities, to avoid timeouts or content truncation. Scenarios with mixed multiple document types require parsing components to support both structured forms and unstructured graphic and text content. Without this support, field omissions or incomplete content may occur. Documents related to individual payments require accurate association with corresponding approval, acceptance, contract, and other chain information. During chunking, contextual integrity of key associated fields must be retained, to avoid loss of business logic after splitting. Additionally, compliance requirements for fiscal documents require ensuring parsed content accuracy, to avoid information deviations in subsequent audit links caused by improper chunking.
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 contextual length of key information such as approval workflows and amount fields in fiscal documents, avoiding loss of associated logic after splitting |
chunkSplitter | Split by paragraph + semantic splitting | Matches the natural paragraph structure of documents such as reimbursement approval forms and contracts, retaining the integrity of business logic |
customPdfParse | Enable structured parsing mode | Accurately extracts structured fields such as budget indicators and economic classifications for form-based PDFs exported from government centralized payment systems |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch uploading of large-volume documents such as contracts and acceptance reports, meeting daily batch processing requirements |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to the time consumption requirements of multi-document batch parsing, avoiding parsing failures caused by timeouts |
chunkSettingMode | Manual configuration | Allows adjustment of chunking parameters based on different document types (such as invoices, contracts) to adapt to mixed format scenarios |
Three Common Misconfigurations
- Phenomenon: Some unstructured information from invoice and contract attachments is missing in parsed documents. Cause: The unstructured content extraction mode of
customPdfParseis not enabled, and only structured fields within the form are extracted. - Phenomenon: The same approval workflow is split into multiple independent chunks after chunking. Cause: The
chunkSizevalue is too small, and semantic splitting logic is not enabled, only forced splitting by fixed character count. - Phenomenon: Parsing timeout failures occur when uploading multiple fiscal documents in batches. Cause: The
PARSE_FILE_TIMEOUT_SECONDSsetting is lower than the actual batch parsing time consumption, or thechunkSettingModeis not adjusted to adapt to batch tasks.
How to Verify Correct Configuration
- Upload a typical reimbursement approval form document, check if the parsed fields include key information such as budget indicators, economic classifications, and approvers, to confirm that structured parsing is effective.
- Adjust
chunkSizeto different values, compare chunking results, to confirm that the chunking logic meets the expected context retention requirements. - Upload batch documents, monitor the parsing task time consumption, to confirm that the
PARSE_FILE_TIMEOUT_SECONDSsetting is sufficient to cover task completion time. - Export the chunked text content, check that information from the same business chain is not split into multiple chunks, to confirm that the semantic splitting logic is effective.
The values provided are common starting points and should be evaluated 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.