What the Data for This Category Looks Like
Core data for this category comes from enterprise OA systems, organizational structure libraries, internal policy documents, and user feedback. Commonly processed documents include process configuration sheets, approval node tables, form field descriptions, and change records. Most documents use structured or semi-structured formats, and contain fields such as approval paths, permission nodes, field rules, and update logs. Updates are triggered by business changes, with an average of multiple adjustments per month.
What Constraints Do These Characteristics Impose on Document Parsing and Chunking?
The data characteristics of this category impose multiple constraints on document parsing and chunking. Structured documents from OA systems have fixed field associations. Parsing must retain the correspondence between approval paths, permission nodes, and other fields to avoid losing business logic after splitting. Semi-structured change records must be split by time or approval node to prevent confusion of cross-node information. Documents updated frequently each month require adaptation to frequently adjusted content structures. Chunking must retain context associations. Field lengths vary significantly across different document types. Chunking rules need flexible adaptation to cover complete business information.
Configuration Settings
This guide is compatible with FastGPT v4.17.0. The following configuration items can be adjusted based on actual business scenarios:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the field length and business context requirements of documents in this category, avoiding loss of approval node association after splitting |
chunkSplitter | Split by paragraph + approval node | Matches the structured structure of documents in this category, preserving the integrity of business logic |
customPdfParse | Enabled | Meets the structured parsing requirements for PDF documents such as process configuration sheets, improving field extraction accuracy |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses the multi-node approval rule content that may be included in documents of this category, preventing process interruptions due to parsing timeout |
UPLOAD_FILE_MAX_SIZE | 100 MB | Adapts to the scale of change records and policy documents uploaded in batches by enterprises, meeting daily configuration needs |
chunkSettingMode | Manual mode | Allows adjustment of chunking rules for different document types (configuration sheets, node tables) to adapt to business differences |
Three Common Misconfigurations
- After uploading a PDF process configuration sheet, the interface displays a parsing failure or returns a timeout error. The cause is that the
customPdfParseconfiguration is not enabled. The default parsing method cannot adapt to the fixed field format of structured process documents. - After connecting a custom PDF parsing service, uploading large change record documents results in no returned content. The cause is that the
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. The default timeout duration is insufficient to handle the parsing process of multi-node approval rules. - Chunked content loses the association of approval nodes, leading to errors in subsequent process configuration verification. The cause is that the default character-by-character splitting rule is used, and
chunkSplitteris not configured to split by approval node. This destroys the business logic structure of the document.
How to Verify Proper Configuration
- Upload a typical process configuration sheet PDF, and check if the parsed content fully retains core business information such as approval nodes and field rules.
- View the running logs of the parsing service, and confirm that the call duration does not exceed the threshold set by
PARSE_FILE_TIMEOUT_SECONDS. - Adjust the
chunkSizeparameter, upload a change record document, and check if the chunked content covers complete business nodes and change information. - Test uploading a document exceeding the default upload limit, and confirm that the
UPLOAD_FILE_MAX_SIZEconfiguration takes effect, with no upload interception prompts.
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 2026-10-19.