What the data for this category looks like
The core data for this category comes from the medical insurance intelligent monitoring system, fund supervision rule base, medical insurance settlement data, drug and consumable traceability codes, and complaint clues. Documents processed daily include audit notices, inspection work papers, suspicious point lists, interview records, handling decision documents, and rectification reports. Document structures cover formal official documents, conversation records, structured tables, and other types. Data is updated monthly. Fields include suspicious point number, violation type, involved business scope, and other items. There is no fixed unified unit format, and parsing rules must be adapted according to document type.
What constraints these characteristics impose on the document parsing and chunking link
Batch documents updated monthly require the parsing process to support batch scheduling, while adapting to multiple document structures. Fields vary widely across different document types. Formal official documents must retain hierarchical logic. Conversation records must be segmented by speaker. Structured tables must accurately extract fields such as traceability codes and expense details. Improper chunking may cause the audit link to miss key violation information. Therefore, parsing and chunking must balance document structural integrity and retrieval granularity, and avoid splitting complete violation determination statements into different chunks.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the paragraph length of formal audit documents, and avoids splitting complete violation determination statements |
chunkSplitter | Split by paragraph + title | Matches the hierarchical structure of audit documents, and retains the integrity of core modules such as the suspicious point list and rectification requirements |
customPdfParse | Enabled | Adapts to PDF documents with drug and consumable traceability codes, and retains table fields and coding information in the original layout |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses parsing time for monthly audit work papers generated from batch medical insurance settlement data calls |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports single upload of monthly aggregated audit archive packages to meet batch processing needs |
chunkSettingMode | Manual configuration | Adjusts chunking parameters to adapt to structural differences across document types such as interview records and suspicious point lists |
Three Common Mistakes
- Calling the parsing API results in long periods of no response, returning a timeout status code. The cause is failure to adjust the
PARSE_FILE_TIMEOUT_SECONDSparameter. The default value is insufficient for processing batch audit archive files.
Reference only; verify against the target FastGPT release and deployment documentation.
- Calling the file parsing tool in a conversation results in no response, and the corresponding function is not triggered. The cause is failure to enable file parsing tool permissions in the application configuration, or failure to bind a parsing engine adapted to medical insurance documents.
How to Confirm Proper Configuration
- Upload a standard audit notice PDF, view the parsed chunking results, and confirm that core violation determination paragraphs are not split.
- Check the running logs of the parsing task, confirm that the
PARSE_FILE_TIMEOUT_SECONDSparameter takes effect, and there are no timeout error records. - Upload interview records and suspicious point list documents separately, and confirm that the chunking strategy adapts to their respective structural characteristics.
- Check the
customPdfParseswitch status in the application configuration, and confirm that parsing optimization for medical insurance documents is enabled.
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.