What this category of data looks like
The data for document and material drafting in government and enterprise IT services (state-owned enterprise communication sector) comes from multiple sources. These include communication project proposal documents, operation and maintenance manuals, bidding documents, project ledgers stored in Feishu multidimensional tables, and PDFs converted from scanned archived paper documents. Update frequency aligns with project progress. Single project document update cycles range from several days to several months. Feishu multidimensional table data is synced in real time. Document structures mix structured fields and free text. Some documents contain nested tables, headers and footers. Scanned PDFs have no native text layer. Fields include project number, implementation scope, budget amount and more. Units include ten thousand yuan, man-days, service duration and others.
What constraints these characteristics impose on document parsing and chunking
Mixed structured and free text documents require matching different chunking rules for different content types. This prevents splitting critical project fields and breaking semantic integrity. Scanned PDFs without native text layers cannot extract valid content via basic parsing. Custom parsing services are needed to complete OCR conversion. Real-time synced Feishu multidimensional table data requires parsing workflows to adapt to incremental sync logic. This avoids full repeated parsing. Long project documents may exceed default parsing and chunking processing limits. Timeout and chunking parameters need adjustment. Nested headers and footers can disrupt semantic coherence during chunking. Corresponding filtering rules must be configured.
Reference only; verify against the target FastGPT release and deployment documentation.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Aligns with the semantic unit length of mixed structured and free text government and enterprise documents, avoids splitting critical fields such as project number and budget amount |
chunkSplitter | Split by semantic paragraphs | Preserves complete semantic coherence of operation and maintenance processes, contract clauses, and project plans |
customPdfParse | Enabled | Handles scenarios where scanned PDFs lack native text layers, completes OCR text extraction |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Accommodates parsing time for multi-page long documents, prevents timeout errors from exceeding thresholds |
chunkSettingMode | Custom mode | Configures chunking rules for structured fields and free text separately for mixed-structure documents |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Meets upload requirements for large bidding project documents, prevents single uploads from exceeding limits |
Three common mistakes
- Phenomenon: Parsing results are empty or structured fields are missing after Feishu multidimensional table sync. Cause: No incremental sync trigger rule is configured for the corresponding data source. This causes the parsing workflow to fail to correctly read stored data from the multidimensional table.
- Phenomenon: Scanned PDFs return only a small number of image links after parsing, with no valid text content. Cause: The
customPdfParseconfiguration is not enabled. Basic parsing cannot extract content from scanned documents with no native text layer. - Phenomenon: Timeout errors trigger after uploading long project documents. The interface shows a parsing timeout prompt. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted to a value suitable for long documents. The default threshold cannot cover parsing time for multi-page documents.
How to confirm proper configuration
- Upload a scanned PDF document. Check if the parsing result contains complete text content. Confirm that the custom PDF parsing configuration is active.
- Upload a long government and enterprise project document. Verify that the parsing progress completes within the preset threshold, with no timeout error prompts.
- Configure a Feishu multidimensional table data source. Trigger a sync, then check if the parsing result includes all structured fields. Confirm that the sync logic works correctly.
- Adjust
chunkSizeto a value within the test range. After chunking, check that critical project fields are not split. Confirm that semantic integrity meets expectations.
The values provided here are common starting points. They should be assessed 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.