Reference only; verify against the target FastGPT release and deployment documentation.
What this category of data looks like
Core documents for administrative licensing and approval scenarios include service guidelines, application forms, commitment letters, acceptance notices, correction notification letters, administrative licensing decision letters, license certificates, and similar materials. Data sources are the national integrated government service platform item database, administrative licensing item list, departmental business approval systems, and electronic certificate database, with a daily update frequency. Document structures include standardized fields such as legal licensing item number, handling conditions, application material list, approval process, and certificate number. Some application form documents contain structured table content.
Constraints on the document parsing and chunking link
Parsing tools must support multiple formats including PDF and tables to handle diverse document types with structured content, avoiding splitting that damages the integrity of structured fields. The parsing process must stably connect to multi-source data and avoid metadata loss, as data sources span multiple departments and are updated daily. Core fields such as legal item number and correction requirements directly relate to approval compliance, so chunking operations must retain key metadata to prevent core information from being broken during splitting. Large-volume electronic certificate packages require parsing support for large files, to avoid parsing failures due to timeouts or size limits.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Administrative licensing documents mostly contain legal clauses and application requirements. Too large a chunk will lose context association, while too small a chunk will destroy the logical unit of approval matters |
chunkSplitter | Split by document structure | Administrative licensing documents have clear structured fields such as item number and handling conditions. Splitting by structure can retain metadata integrity |
customPdfParse | Enable table recognition mode | Administrative licensing application forms mostly contain structured application information. Enabling this mode can accurately extract field content within tables |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supporting electronic certificate packages for some administrative licensing items have large volume, which requires adapting to large-file upload requirements |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large-volume electronic certificate packages or multi-page service guidelines takes a long time, so sufficient parsing time must be reserved |
chunkSettingMode | Manual configuration | Administrative licensing documents have a high degree of standardization. Manual configuration can accurately match business logic |
Three Common Mistakes
- Parsing fails when uploading Excel-format administrative licensing application forms. Reason: The default parsing mode does not support structured table-style administrative licensing application materials.
- Parsing times out when uploading a 3MB PDF-format service guideline. Reason: The
PARSE_FILE_TIMEOUT_SECONDSconfiguration value is lower than the actual required parsing time. - Retrieved document blocks do not carry the legal number metadata of the corresponding item. Reason: Key field information in the document header was not retained during chunking, or the metadata extraction configuration was not enabled.
How to Confirm Proper Configuration
- Upload a single administrative licensing decision document, and verify that the parsed text blocks completely retain core fields such as legal item number and approval conclusion.
- Upload an Excel-format administrative licensing application form, and verify that the parsing result completely extracts structured application information in the table.
- Upload the maximum-volume document matching the business scenario, and confirm that the upload and parsing processes do not trigger timeout or file size limit error messages.
- Initiate a retrieval request associated with an administrative licensing item, and confirm that the returned document blocks carry the metadata information of the corresponding item.
The values provided are common starting points and should be evaluated against actual deployment 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.