What the data for this category looks like
Data sources for party building learning Q&A in the coal chemical industry mainly include internal study documents issued by party committees of central and local state-owned enterprises, branch meeting minutes, party lecture courseware, party building assessment ledgers, and party building integration materials combined with production safety. Updates follow monthly or quarterly cycles, aligned with party building study theme arrangements.
Documents include three types: long-form lecture scripts, structured tables, and scattered notices. Fields include issuing unit, issuing date, study theme, and main body content. Some documents include assessment data and unit indicators related to work safety.
Reference only; verify against the target FastGPT release and deployment documentation.
What constraints these characteristics impose on document parsing and chunking
Long party lecture scripts have considerable length. Direct chunking breaks the logical chain of party building discussions, so chunking must preserve contextual coherence.
Structured party building assessment ledgers and party member learning tables lose field-content associations if split incorrectly, which reduces the accuracy of subsequent Q&A.
Party building integration materials combined with production safety contain coal chemical industry technical terms. Chunking must retain cross-domain contextual connections.
Regularly updated documents must meet parsing timeout and bulk upload constraints to avoid parsing failures caused by excessive document volume.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Aligns with the long-text logic of coal chemical industry party building documents, avoids breaking coherence between party building discussions and production-related content |
chunkSplitter | Split by paragraph + heading | Preserves the hierarchical structure of party building documents, prevents semantic confusion from cross-heading chunking, and fits formal writing logic |
customPdfParse | Enable table recognition mode | Adapts to structured documents such as party building assessment ledgers and learning tables, retains the correspondence between fields and content |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Meets the needs of coal chemical enterprises for bulk upload of multiple party building documents, prevents upload failures from oversized single files |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses parsing time for long party lecture scripts and multi-page courseware, prevents parsing tasks from being terminated due to timeout |
chunkSettingMode | Manual configuration | Allows flexible adjustment of chunking parameters for party building integration materials containing technical terms, adapts to semantic coherence of cross-domain content |
Three common mistakes
- Phenomenon: After uploading a party building assessment ledger in CSV or Excel format, table fields in the parsing result are empty or the structure is disorganized. Cause: The table recognition mode of
customPdfParseis not enabled. The default parsing logic cannot fully extract fields and corresponding content from structured tables. - Phenomenon: After uploading a multi-page party lecture script or bulk party building documents, the parsing task is terminated due to timeout. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. The default timeout duration is insufficient to complete parsing for long documents or bulk files. - Phenomenon: Semantic breaks appear in retrieval results after vectorization. For example, party building theme discussions and subsequent production safety-related content are split into different chunks. Cause: The
chunkSizevalue is too small, breaking cross-paragraph logical connections and failing to adapt to the content characteristics of coal chemical industry party building integration documents.
How to confirm correct configuration
- Upload a typical party building table file, and check whether the table structure in the parsing result matches the field correspondence of the original file.
- Upload a single long-form party lecture script, and confirm that no timeout termination prompt appears for the parsing task.
- Adjust the
chunkSettingModeandchunkSizeparameters, compare chunking results across different configurations, and select the setup that meets document logical coherence requirements. - Bulk upload multiple party building documents in different formats, and confirm that no abnormal errors occur during the upload and parsing process.
The values listed here are common starting points. They should be evaluated against the organization’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.