What the data for this category looks like
Core data for this category comes from the full-process electronic enterprise registration system, the National Enterprise Credit Information Publicity System, the Electronic Business License System, and the residence information database, with a daily update frequency. Commonly processed documents include establishment registration applications, articles of association, shareholder resolutions, residence certificates, business licenses, food business license applications, and more. Most documents have form-based or chapter-based structures, containing fixed fields such as unified social credit code, entity name, residence address, shareholder information, and licensing scope. Some documents are non-standard PDFs or structured forms exported from government service systems.
What constraints these characteristics impose on the document parsing and chunking step
High-volume, high-frequency daily document processing requires parsing tools to support concurrent processing, to prevent timeouts from task backlogs. Mixed processing of multiple document types requires parsing rules to support both form fields and chaptered paragraph structures, to avoid breaking critical associated content such as shareholder resolutions and licensing application conditions during chunking. Document formats from different government systems are inconsistent, and some embedded fields may be compressed or encrypted. Custom parsing rules are needed to adapt to metadata extraction. Ledger summary requires retaining the correspondence between chunks and original documents. Chunking rules must not split associated fields of the same application item, as this will affect the accuracy of subsequent report generation.
The following configurations apply to FastGPT v4.17.0.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the field and paragraph lengths of registration-related documents, avoiding sentence break errors when splitting continuous content such as shareholder resolutions and licensing application conditions |
chunkSplitter | Split by title + paragraph | Matches the chapter structure of establishment registration applications and articles of association, retaining complete logic for each application item |
customPdfParse | Enabled | Adapts to non-standard PDF forms exported from government systems, extracts embedded form field metadata, and prevents content loss |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Processes batches of business license and licensing application PDFs, preventing timeout failures caused by large single-document size or dense task volume |
UPLOAD_FILE_MAX_SIZE | 100 MB | Meets upload requirements for single articles of association and collections of residence certificates, supporting parsing of large documents |
chunkSettingMode | Manual mode | Allows adjustment of chunking rules for different document types, ensuring the integrity of associated fields during ledger summary |
Three common mistakes
- After passing in external government system links, the parsing result only returns page metadata, with no actual document content. This occurs because custom parsing rules for government system exported documents are not enabled, and structured embedded registration form fields cannot be recognized.
- The chunk ID field in the knowledge base cannot be copied, making it impossible to accurately associate chunk data with ledger entries. This occurs because the interface does not expose copy interaction functions for this field, preventing quick location of corresponding chunks during ledger summary.
- Custom-split document chunks are automatically deduplicated when stored in the knowledge base, disrupting the preset index order. This occurs because the system enables global duplicate chunk filtering by default, and exemption rules are not configured for duplicate compliance fields such as unified social credit code in registration and licensing documents.
How to confirm configurations are properly set
- Upload a single establishment registration application PDF, verify that the chunking result retains the integrity of continuous sections such as "shareholder information" and "residence certificate".
- Batch upload daily updated business license scan files, confirm that no parsing task timeout errors occur.
- View the chunk list in the knowledge base, confirm that the chunk ID field supports copy operations.
- Import preset chunked document chunks, verify that the original index order is retained and not modified by automatic deduplication.
The values provided are common starting points and should be evaluated using local sample data.
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.