What This Category of Data Entails
Data sources for this category include government portals, document management systems, government information disclosure directories, policy document repositories, and press conference materials. The update frequency is daily. Commonly processed documents include policy documents, policy interpretation drafts, public disclosure directories, information release approval forms, press releases, and website column update records. Policy documents typically include labeled fields such as publishing entity and effective date. Public disclosure directories are stored categorized by column. Approval forms include public attribute and confidentiality review status identifiers. All document types must comply with public disclosure specification requirements.
Constraints on Document Parsing and Chunking
Bulk documents updated daily require the parsing and chunking process to have automated adaptation capabilities, with no need for manual adjustment per document type. Multiple document types have significant structural differences: policy documents have fixed formats and labeled fields, public disclosure directories use list structures, and information release approval forms include approval status identifiers. Chunking logic must adapt to the content organization rules of different documents. Key fields related to public attribute and confidentiality review must be fully retained during parsing to prevent accidental disclosure of sensitive information. Policy interpretation drafts include content linked to images and text. Chunking must retain contextual associations to avoid misinterpretation caused by split policy statements.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the paragraph length of policy documents and interpretation drafts, avoids overly long single chunks that impair retrieval matching, and prevents overly short chunks that cause contextual breaks |
chunkSplitter | Split by paragraph + title | Matches the title hierarchy and paragraph structure of policy documents, retains content logical integrity, and adapts to the list organization form of public disclosure directories |
customPdfParse | Enabled | Adapts to complex tables and layouts common in government documents, prevents the default parsing engine from losing key labeled information |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to bulk uploaded policy document packages and large public disclosure directory documents, meets daily office bulk processing needs |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers the parsing time required for large policy documents and multi-page interpretation drafts, avoids interrupting the parsing process due to timeout |
chunkSettingMode | Auto-adapt by document type | Adapts to structural differences across multiple document types, with no need to manually adjust chunking rules for individual documents |
Three Common Mistakes
- After uploading policy-related PDF documents, the parsing status shows timeout or no results, and no parsed content appears in the knowledge base. The cause is that the
customPdfParseconfiguration is not enabled. The default parsing engine cannot adapt to complex tables and layouts in government PDF documents, leading to parsing failure. - Contextual breaks appear in chunked policy interpretation drafts, with key policy statements split into different chunks. The cause is that the
chunkSizesetting is too small, failing to match the paragraph length of policy interpretation drafts and destroying the logical integrity of the content. - When bulk uploading public disclosure directory documents, some files are blocked and cannot be uploaded. The cause is that the
UPLOAD_FILE_MAX_SIZEsetting is smaller than the total size of the batch of uploaded files, exceeding the configured limit.
How to Verify Successful Configuration
- Upload a typical policy document, review the parsed chunked content, confirm that titles and main text are not incorrectly split, and key labeled fields are fully retained.
- Upload a large PDF document, wait for parsing to complete, confirm that no timeout error occurs, and parsing time meets daily office expectations.
- Bulk upload multiple public disclosure directory documents, check that no files in the upload queue are blocked, and confirm that file sizes meet the configured requirements.
- Switch between different types of test documents, check whether the chunking rules automatically adjust, and confirm that the chunking logic for multiple document types adapts to their respective structural characteristics.
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.