What this category's data looks like
Typical data for this category comes from government service centers, administrative approval bureaus, industry authority approval departments, and similar entities. Daily documents include standard documents and structured forms: service guidelines, application forms, commitment letters, acceptance notices, correction notification letters, administrative licensing decision letters, and license certificates. Data sources include the national integrated government service platform item database, administrative licensing item list, departmental business approval systems, and electronic certificate repositories. Update frequency is daily. Most documents have fixed fields: item number, applicant information, approval conclusion. Some correction notification letters and approval opinions contain free text with mixed formats. These require classification and aggregation by legal licensing items.
Constraints imposed by these characteristics on document parsing and chunking
High-frequency daily updated data requires parsing processes to maintain stability and timeliness. Parsing delays must be avoided to prevent disruption to ledger summary progress. The coexistence of standard documents and structured forms requires chunking logic to balance fixed field extraction and free text semantic integrity. This prevents splitting of item-related information. Cross-system and cross-department data sources create differences in document formats. Parsing workflows must adapt to multiple formats including PDF, Word, and form export files. Parsing results must be classifiable by licensing item to meet ledger summary aggregation requirements. Parsing errors can increase time spent on subsequent verification. They may also lead to overdue completion or approval compliance risks. The chunking step must retain sufficient context association information.
How to configure settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Administrative licensing documents are mostly standard. This length covers the core content of a single material, and avoids splitting associated fields into different chunks |
chunkSplitter | By paragraph + fixed delimiters | Adapts to the fixed layout structure of administrative licensing documents. Splitting by paragraph preserves semantically complete content units such as approval opinions and application reasons |
customPdfParse | Enable structured parsing mode | For PDF documents such as electronic certificates and official approval documents, extract form field information. Avoid losing structured data with plain text parsing |
UPLOAD_FILE_MAX_SIZE | 100 MB | Covers bulk imported batches of licensing document packages in government scenarios. Meets daily bulk processing needs for ledger summary |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Allocates sufficient time to process multi-page electronic certificates or long forms. Prevents parsing task failure due to timeout |
chunkSettingMode | Manual configuration | Adjust chunking parameters for different types of administrative licensing documents such as application forms and decision letters. Adapts to diverse document formats |
Three common configuration mistakes
- Uploading a government public disclosure link returns only the link text, and cannot parse the document content. The cause is that remote document parsing permission is not enabled, or the linked document requires login access and is not publicly available.
- After chunking, the unified number and issuance date of electronic certificates are split into different chunks. The cause is that
chunkSizeis set too small, which breaks the associated integrity of structured fields. - Markdown formatting of approval opinions is not retained in context references. The cause is that the document parsing format retention switch is not enabled, leading to filtering of original typesetting markers.
How to verify correct configuration
- Upload a single standard administrative licensing decision letter PDF. Check if parsed chunks retain core fields including item name and approval conclusion, with no missing or split content.
- Bulk upload multiple administrative licensing documents in different formats. Confirm parsing tasks have no timeout errors, and overall completion rate meets expected standards.
- Review context reference results. Confirm chunked content has semantic coherence, with no overlapping content across licensing items.
- Test parsing of public government links. Confirm that documents such as service guidelines can extract complete text content normally.
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.