What Data Looks Like for This Category
This category’s data originates primarily from internal party building management systems and learning platform archive files of state-owned enterprises, government agencies, and public service institutions. Data updates follow monthly regular synchronization, with occasional updates from temporary policy releases and additional special study materials. Document types include official policy PDFs, Excel ledgers with embedded study photos, structured meeting minutes Word documents, and standardized party building manuals. Fields cover document title, issuing entity, effective date, main text content, embedded image resources, and attachment association identifiers. There is no unified fixed format, and a large amount of non-standard layout content exists.
What Constraints These Characteristics Impose on Document Parsing and Chunking
Non-standard document layouts cause general parsing modules to fail to accurately identify paragraph boundaries, increasing the risk of semantic fragmentation during chunking. Excel ledgers with embedded images require additional processing for image extraction and association to avoid losing visual learning materials after parsing. A single upload may include multiple party building materials, so the system must support context isolation for batch parsing of multiple documents. Information weights vary across different fields: main text content should be the primary chunk subject, while images and attachment identifiers must be individually associated with corresponding text blocks to avoid semantic misalignment. Occasional temporary material updates also require parsing workflows to have flexibility to quickly adapt to new formats.
How to Set Configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Adapt to large Excel and PDF documents containing multiple high-resolution images in party building materials, avoid upload truncation |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Cover parsing time for large multi-page PDFs and Excel files with large numbers of embedded images, avoid mid-process timeout interruptions |
customPdfParse | Enabled | Adapt to non-standard layouts common in party building documents such as headers, footers, and custom chapter numbering, improve paragraph recognition accuracy |
chunkSplitter | Paragraph + semantic splitting | Align with the chapter and paragraph semantic logic of party building materials, avoid semantic breaks from rigid splitting |
chunkSize | 800–1200 characters | Balance context completeness and retrieval accuracy, adapt to the long paragraph expression habits of party building content |
chunkSettingMode | Manual configuration | Allow adjusting chunking parameters for different types of party building documents such as policy documents and study ledgers, adapt to diverse data structures |
Three Common Mistakes
- Phenomenon: After uploading an Excel party building ledger with embedded images, the parsing result only contains text content, no image association information, and images cannot be sent to the large model synchronously. Cause: The parsing switch for Excel embedded resources is not enabled, only table text is extracted without synchronously associating image resources.
- Phenomenon: After uploading a party building policy PDF, the generated markdown format is messy, titles and main text are misaligned, and chapter hierarchy is lost. Cause: The
customPdfParseconfiguration is not enabled, and the general parsing module cannot adapt to special layout formats such as headers, footers, and custom chapter numbering common in party building documents. - Phenomenon: When uploading a large party building manual with more than 500 pages, the parsing task has no response for a long time after triggering, and finally returns a timeout error. Cause: The
PARSE_FILE_TIMEOUT_SECONDSsetting value is too low, and the complete parsing time of multi-page documents is not covered.
How to Confirm Configuration Is Correct
- Upload an Excel party building ledger containing embedded study photos, check whether the parsing result includes image association identifiers or callable resource links.
- Upload a party building policy PDF with custom headers and footers, check whether the parsed markdown text accurately retains chapter hierarchy and core main content.
- Adjust the
chunkSizeparameter, compare chunking results under different values, confirm that semantic completeness meets business retrieval requirements. - Upload a large document package exceeding 1500 MB, confirm that the upload and parsing processes do not have truncation or timeout errors.
The values provided are common starting points and should be evaluated 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.