What This Category of Data Looks Like
Party building learning data in the grain reserve sector comes from party building guidance documents issued by party committees of the central and local grain and material reserve systems, party building learning archives of directly affiliated grain depots, annual party building work reports, and theme education learning materials. Upper-level documents update in real time with policy adjustments. Internal archives are updated quarterly on a rolling basis. Document formats include red-headed official documents, itemized learning plans, party building assessment tables with statistical fields, and plain-text learning notes and meeting records. Fields include document number, learning duration, assessment score, number of attendees, and similar details.
Constraints on Document Parsing and Chunking
The fixed header and footer format of red-headed documents requires parsing components to automatically filter non-body redundant information. This avoids mixing unrelated content such as document numbers and release dates. The multi-table document structure requires parsing components to support cross-cell content merging. This prevents logical breaks caused by splitting table data during chunking. Document lengths vary widely, from single-page learning notices to dozens of pages of annual party building reports. This requires adapting chunking rules for different lengths. Some documents contain mixed content combining grain reserve business and party building work. This requires accurate identification of associated fields to avoid splitting content that links business and party building work during chunking.
How to Configure
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the average content density of mixed text and tables in party building documents, avoiding single chunks that are too long or too fragmented |
chunkSplitter | By paragraph + title hierarchy | Matches the title hierarchy structure of party building documents, preserving logical integrity of content |
customPdfParse | Enable header/footer filtering | Targets the fixed format of red-headed documents, automatically stripping non-body redundant information |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Meets parsing time requirements for single party building documents (up to 50 pages in length) |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Allows uploading single compressed packages or long documents containing multiple party building materials |
chunkSettingMode | Manual configuration | Allows adjusting chunking rules for different types of party building documents, such as notices, reports, and tables |
Three Common Misconfigurations
- Phenomenon: Parsed documents lack table content, or table datasets cannot be selected during the knowledge base creation process. Cause: Parsing adaptation for table content is not enabled, and the default chunking rule splits table cell content.
- Phenomenon: Parsing tasks time out and fail, returning timeout-related error messages. Cause: The set
PARSE_FILE_TIMEOUT_SECONDSvalue is less than the actual parsing time of a single long document. - Phenomenon: Chunked content has logical breaks, with party building learning content on the same topic split into multiple independent chunks. Cause:
chunkSplitteris configured to split by fixed character count, without matching the document's title hierarchy structure.
How to Verify Proper Configuration
- Upload a test party building document containing red-headed documents, tables, and plain text. Review the parsed preview content to confirm headers and footers have been filtered, and table content has been fully extracted.
- Review the chunked content list to confirm that learning content under the same title has not been forcibly split, and chunk lengths fall within the preset
chunkSizerange. - Upload a single annual party building report document of around 50 pages. Confirm that the parsing task completes within the time set by
PARSE_FILE_TIMEOUT_SECONDS, with no timeout errors. - Switch between different document types, such as learning notices and meeting minutes, to verify that chunking rules adapt to the structure of each corresponding document type.
The values listed above are common starting points, and should be evaluated against the user’s own sample documents.
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.