What this category of data looks like
This category of Party Building learning data mainly comes from official study documents issued by the enterprise Party Committee, industry Party Building co-construction discussion materials, and internal Party member study ledgers. Data updates are adjusted according to the deployment of higher-level Party committees and the rhythm of industry Party Building activities. Most documents are formal PDFs or courseware with chapter headings, with structures including fields such as document number, issuing unit, release date, and study theme. Units are marked as "copies" or "volumes". Some long documents include page numbers and subsection numbers.
What constraints these characteristics impose on document parsing and chunking
The nested chapter structure of official documents creates constraints for chunk boundary identification. If the chunking logic does not adapt to hierarchical headings, content from the same chapter may be split into different chunks. Proprietary terms for industry Party Building combined with production require retaining term context during chunking to avoid splitting professional expressions. Long documents such as quarterly study compilations have large volume, so chunking parameters need to be adjusted to accommodate large-capacity content to prevent parsing timeouts or chunk overflow. Scattered internal study ledger entries require avoiding merging content of different themes into the same chunk.
The following configurations apply to FastGPT v4.17.0.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Long documents for advanced chemical materials Party Building learning, such as quarterly compilations, may exceed conventional thresholds. 2000 MB covers the size of most internal documents |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Long document parsing takes a long time. 900 seconds prevents interruptions due to timeout before parsing completes |
customPdfParse | Enabled | Most chemical Party Building documents are formal PDFs with formatting. Custom parsing preserves chapter headings and formatting, improving chunking accuracy |
chunkSplitter | Split by heading and paragraph | The document structure uses chapter headings as logical boundaries. Splitting by headings ensures logical integrity of chunks |
chunkSize | 800–1200 characters | Balances semantic completeness of Party Building content and retrieval efficiency, adapting to the input length requirements of most retrieval models |
chunkSettingMode | Custom mode | Parameters for chunking need to be adjusted for long chapters and proprietary terms in chemical Party Building documents. General modes do not meet scenario requirements |
Three common errors
- Symptom: No parsing result after uploading a PDF, and no error logs appear in the backend. Cause:
customPdfParseis not enabled. The default parsing cannot recognize the special formatting of chemical Party Building documents, resulting in parsing failure. - Symptom: Service timeout occurs after calling the parsing interface, and Milvus-related components show abnormal memory usage. Cause:
UPLOAD_FILE_MAX_SIZEis set too small, a long document exceeding the threshold was uploaded, andPARSE_FILE_TIMEOUT_SECONDSis not adapted to long document parsing requirements, leading to timeout and extra memory usage. - Symptom: Chunk results include scattered entries across multiple themes. Cause:
chunkSplitteris not configured to split by heading, and only splits by fixed character count, resulting in Party Building study content from different chapters being merged into the same chunk.
How to confirm configurations are correctly set
- Upload a typical long chemical Party Building document, check if the parsed chunks retain chapter headings as chunk boundaries.
- View the
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSparameters in system settings, confirm their values meet the document size and parsing time requirements of the current scenario. - Call the API to upload a test document, check if the returned chunk results include complete proprietary terms and logically complete content blocks.
- View backend parsing logs, confirm there are no error messages for format parsing failures.
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.