What data for this category looks like
Data for this category comes from centralized treasury 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 documents, reimbursement approval forms, and payment vouchers. Individual documents often contain structured fields such as budget indicator codes, economic classification codes, payment amounts, approval workflow nodes, and acceptance numbers. Some contract documents include multi-page attachments and signature and seal information.
Constraints imposed on the document parsing and chunking link by these characteristics
Data sources for this category involve multiple integrated systems. Commonly processed documents include structured forms and unstructured attachments. Multiple related documents must be processed in batch every day. Core structured fields such as budget indicator codes and economic classification codes must be extracted accurately, and they must not be accidentally truncated during chunking. Related documents such as invoices and reimbursement approval forms corresponding to a single payment must retain contextual association. The chunking logic must avoid splitting cross-document related information. Some contract documents have large file sizes. The parsing and chunking link must adapt to large file processing limits to prevent content loss or parsing timeouts.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Core fields for this category are mostly short text. The chunk length is matched to the contextual association length of fields such as budget indicators and payment amounts in documents, to avoid truncating critical information |
chunkSplitter | Use document built-in separators + semantic segmentation | Daily documents include structured forms and unstructured attachments. Splitting by built-in separators preserves the integrity of form fields, and semantic segmentation is used to supplement related content |
customPdfParse | Enabled | Some contracts and acceptance documents are in PDF format. Enabling custom parsing accurately extracts structured fields from signatures, seals, and tables, avoiding field misalignment caused by standard parsing |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large contract documents take longer to parse. This duration covers the parsing needs of most individual documents, preventing timeout errors |
UPLOAD_FILE_MAX_SIZE | 100 MB | Most individual batch documents for this category do not exceed this size. Documents beyond this range must be split before uploading to adapt to system parsing capabilities |
chunkSettingMode | Manual configuration | Document formats for this category vary widely. Manual configuration allows flexible adjustment of chunking rules to adapt to different types of fiscal business documents |
Three common misconfigurations
- Symptom: When uploading contract PDF documents larger than 10 MB, the interface displays the
timeout of 360000ms exceedederror. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted to a duration suitable for large file parsing. The default timeout setting is insufficient to cover the parsing time of this type of document. - Symptom: For some docx reimbursement approval forms with complex nested tables, table fields are empty or misaligned after parsing. Cause: The
customPdfParseconfiguration was not enabled. The standard parsing engine cannot adapt to the nested table structure of fiscal documents. - Symptom: When the segment length after splitting by built-in separators exceeds the
chunkSizesetting, automatic truncation is not triggered, resulting in chunk content exceeding system thresholds. Cause: The automatic truncation logic underchunkSettingModewas not enabled. Only splitting by separators was done, without handling overly long segments.
How to confirm proper configuration
- Upload a single typical document, such as a reimbursement approval form, and check the parsed chunk results to verify that core fields are fully retained.
- Adjust the
chunkSizeparameter, then upload a large contract document to confirm that the parsing process does not trigger timeout errors. - Upload multiple related documents, such as an invoice and a reimbursement approval form, to check if the chunk results retain contextual association between documents.
- Check system logs to confirm that parsing task durations do not exceed the
PARSE_FILE_TIMEOUT_SECONDSsetting.
The values provided 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.