What Data for This Category Looks Like
Core data for this category originates from content audit backends, user reports, regulatory policies, and sample libraries. Commonly processed documents include audit rules, disposal guidelines, appeal records, and quality inspection reports.
Document structures vary significantly by type: rule documents contain hierarchical clauses tied to applicable scenarios. Record documents include operation times, subject information, and processing results.
Data is updated daily or adjusted alongside policy changes. All audit-related documents—both existing and new—must be covered during synchronization.
Constraints Imposed on Document Parsing and Chunking
Documents in this category have highly varied structures, diverse sources, and frequent updates. These traits create multiple constraints for document parsing and chunking.
Hierarchical audit rule documents require precise splitting by clause hierarchy to avoid breaking logical connections across clauses. Source documents come in multiple formats, including backend-exported spreadsheets, policy PDFs, and text records. Parsing tools must support multiple formats while preserving original layout relationships.
Frequently updated documents need lightweight incremental parsing to avoid full repeated processing. For linked documents such as appeal records and their corresponding rules, chunking must preserve metadata associations to ensure complete context for subsequent audit scenarios.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Aligns with the clause length of hierarchical audit rule documents to avoid splitting single decision logic |
chunkSplitter | Split by title hierarchy | Matches the hierarchical structure of audit rule documents and preserves contextual connections between clauses |
customPdfParse | Enabled | Filters header and footer metadata from compliance policy PDFs while retaining core rule clauses |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Accommodates parsing time for large quality inspection reports and sample library documents to avoid timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports upload and parsing of large-volume sample library documents for batch import |
chunkSettingMode | Manual configuration | Adapts to the highly varied document structure of this category, allowing flexible adjustment of chunking rules |
Three Common Misconfigurations
- Scenario: A 504 status code timeout error occurs when calling the FastGPT API to parse large quality inspection reports. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and the default short timeout duration was used, which cannot cover the parsing time of large-volume documents. - Scenario: After upgrading to FastGPT v4.17.0, the document enhanced parsing function does not work. Normal functionality is restored after switching to basic parsing mode. Cause: Commercial edition permissions were not confirmed. The enhanced parsing function is only available for commercial editions, and the community edition does not have the corresponding enable permission configured.
- Scenario: When calling a large model in a chat scenario, the file parsing tool cannot be invoked, and audit rule documents cannot be imported. Cause: The file parsing tool was not bound to the corresponding large model call chain, resulting in the parsing request not being triggered correctly.
How to Confirm Proper Configuration
- Upload a single audit rule document, review the parsed chunk results, and confirm that clauses are not split and complete decision logic is preserved.
- Upload a large-volume quality inspection report, check that no timeout errors occur during parsing, and confirm that the parameter values match the current document size.
- Enable the document enhanced parsing function, import a compliance policy PDF, and confirm that the parsed results contain no redundant irrelevant content.
- Try uploading an audit-related document in the large model chat interface, and confirm that the file parsing tool can be invoked normally and parsing is completed.
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.