What the Data for This Category Looks Like
Core data for this category comes from the national primary and secondary school student status information management system, local enrollment platforms, household registration and real estate data, and school educational administration systems. The update frequency is daily.
Documents processed daily include enrollment application forms, student status information forms, transfer applications, enrollment plans, admission rosters, and student status change approval forms. Most documents are a mix of structured tables and forms. Some come from standardized exported formats from systems, while others are converted from offline scanned documents.
Fields include student ID number, student status number, real estate address, change type, enrollment batch, number of admitted students, and more. There is no fixed per-document size limit. Multiple documents may be merged during bulk import.
What Constraints These Characteristics Impose on Document Parsing and Chunking
Multiple data sources lead to inconsistent document formats. Standardized Excel and PDF tables exported from systems are present alongside blurry documents converted from scanned files. This requires parsing logic with format adaptive capabilities.
Daily updated data must be parsed and chunked quickly to avoid delays that disrupt review workflows. Structured fields such as student status numbers and enrollment batches must be accurately bound. Cross-field content must not be split, as this will prevent matching corresponding information during review.
Larger documents such as bulk imported enrollment plans and admission rosters require optimized parsing and chunking efficiency for large files to avoid timeouts or parsing interruptions.
How to Configure the Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the field density of student status forms and application forms, avoids breaking the association between student identity information and corresponding review fields |
chunkSplitter | Split by paragraph + table | Matches the mixed structure of structured tables and form fields in enrollment documents, preserves complete associations within table cells |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Accounts for parsing time of long documents such as bulk student status change approval forms and enrollment plan rosters, avoids timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 100 MB | Adapts to bulk imported merged enrollment document packages, meets daily review bulk processing requirements |
customPdfParse | Enabled | Adapts table recognition for PDF-format enrollment application forms and admission rosters, prevents table content from being split into scattered text |
chunkSettingMode | Manual configuration | Adjusts chunking rules for different document types such as student status forms vs transfer applications, adapts to binding requirements for different fields |
Three Common Mistakes
- Some tables cannot be chunked correctly, and parsed table content is split into scattered paragraphs. This occurs because structured table-compatible chunking rules are not enabled. The default chunking logic prioritizes line break splitting, and does not preserve the association between table cells.
- Out-of-memory errors occur after deployment, and GPU information cannot be detected. This is caused by incorrect GPU mounting configuration for the container, or a mismatch between the PDF parsing tool chain and CUDA version.
- Images in Markdown-imported documents lose their domain name, and cannot be displayed normally during conversations. This occurs because the complete URL path of images is not retained during document conversion, and only local relative paths are extracted.
How to Confirm the Configuration Is Correct
- Upload a single PDF of a student status information form, check that the parsed chunks retain complete student status fields for each student, and no cross-student field concatenation occurs.
- Upload a bulk enrollment plan document, verify that parsing time falls within the preset
PARSE_FILE_TIMEOUT_SECONDSrange, and no timeout errors occur. - After enabling
customPdfParse, upload an enrollment application form with tables, confirm that table content is fully recognized as structured chunks, and no content is lost. - Upload an admission roster larger than the conventional single-document size, confirm that the upload is not blocked by the
UPLOAD_FILE_MAX_SIZElimit.
The values listed above are common starting points. Adjust them based on your own specific samples and use cases.
Reference only; verify against the target FastGPT release and deployment documentation.
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.