What this category of data looks like
This category of data comes from the national basic catalog of government service items, administrative licensing item list, power and responsibility list, and local government service item databases, with a monthly update frequency. Daily processed documents include basic government service item catalogs, implementation lists, service guides, standard material catalogs, flowcharts, and frequently asked questions. The document structure has clear hierarchical divisions, including standardized fields such as item code, item name, acceptance conditions, and application material list. Some documents include unified hierarchical identifiers and business association tags.
What constraints do these characteristics impose on the document parsing and chunking link
The hierarchical structure of government service item catalogs and service guides requires the document parsing and chunking link to retain the association logic of items, sub-items, and chapters, to avoid splitting cross-level business content. The batch document feature with monthly updates requires configuring parameters adapted to batch processing, to avoid single-parsing timeouts or excessive resource usage. The standardized field system requires the parsing link to accurately locate field boundaries, and not split fields from their corresponding business content during chunking. Some documents include structured tables and nested titles, requiring the parsing engine to support retaining format and hierarchy. Otherwise, subsequent Q&A will fail to match accurate policy basis.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Fits the length of single-chapter business content in government service guides, and retains complete association between standardized fields such as acceptance conditions and application materials |
chunkSplitter | Split by title hierarchy | Government documents have clear item, sub-item, and chapter hierarchies. Splitting by title preserves business logic integrity |
customPdfParse | Enabled | Most government documents are standard format PDFs. Enabling custom parsing accurately extracts structured content such as tables and hierarchical titles |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single batch-exported PDF files of government service items usually do not exceed this size, preventing upload failures |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Large government catalog documents take longer to parse. This range covers parsing needs for most scenarios |
chunkSettingMode | Manual configuration | Government document structures are fixed. Manual configuration accurately matches business field splitting requirements, avoiding logic deviations from automatic chunking |
Three common mistakes
- Phenomenon: After enabling the file upload node of the workflow, calling the document parsing tool returns an error about invalid file address. Cause:
UPLOAD_FILE_MAX_SIZEis not configured correctly, the uploaded government service PDF file exceeds the limit, or the local file path is not mapped to a FastGPT-accessible directory. - Phenomenon: Some government PDF service guides cannot be recognized, and tables or hierarchical titles are missing from the parsed text. Cause:
customPdfParseis not enabled. The default parsing engine cannot adapt to the standard format and structured content of government documents. - Phenomenon: Chunking results break the association between item codes and their corresponding acceptance conditions. Cause:
chunkSizeis set too small, splitting complete content linked to a single business unit, orchunkSplitteris not configured to split by title hierarchy, leading to cross-chapter splitting of business units.
How to confirm the configuration is correct
- Upload a single standard government PDF service guide, check if the parsed text retains complete association between core fields such as item name and acceptance conditions.
- Batch upload government catalog documents updated monthly, check if parsing tasks complete within the time set by
PARSE_FILE_TIMEOUT_SECONDSwith no timeout errors. - Test the chunked text fragments, confirm that each chunk contains a complete business unit and does not split structured content such as the application material list.
- Check the FastGPT v4.17.0 system logs to confirm there are no prompts about parameter configuration errors for document parsing tasks.
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.