What this category of data looks like
The documents covered under this category include student aid-related materials and party building learning resources. Aid-related documents include family economic hardship certification forms, aid application forms, scholarship and grant review forms, disbursement lists, public notice materials, and more. Data sources include the national student aid management information system, school student status systems, civil affairs minimum living allowance and extreme poverty assistance data, and fiscal payment systems. Data is updated on a per-semester basis. Document structures vary: some are structured tables, some are mixed text. Fields include student identity identifiers, family economic status descriptions, aid application categories, review statuses, disbursement amounts, and more. Party building resources are mostly paragraph-style policy texts.
Constraints on document parsing and chunking
The data characteristics of this category impose multiple constraints on the document parsing and chunking process. First, documents from multiple sources and formats require adapted parsing logic. The coexistence of structured tables and mixed text requires chunking strategies that support both content types. Second, data updates follow a per-semester cycle. Batch processing of all documents within a semester requires consistent parsing efficiency. Third, the party building learning Q&A scenario requires linking both party building policy texts and student aid documents. The field logic of these two document types differs significantly. Clear chunk boundaries must be defined to avoid mixing content across categories. Finally, the review process relies on accurate field information. Chunking must preserve the integrity of key review paragraphs and policy clauses to prevent loss of associated context after splitting.
Configuration settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Values | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Ensures semantic integrity of student aid document review paragraphs and party building policy texts. Avoids semantic fragmentation from too-small chunks, and reduces retrieval accuracy from too-large chunks |
chunkSplitter | Split by paragraph and heading | Compatible with both document types that mix tables, headings, and plain text. Preserves logical associations between content |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Covers parsing time for batch-exported semester student aid documents and party building learning resources. Prevents parsing interruptions from timeouts |
customPdfParse | Enable table structured parsing | For PDF table documents such as aid review forms and disbursement lists. Preserves field associations and typesetting logic |
UPLOAD_FILE_MAX_SIZE | 500 MB | Accommodates the scale of multiple documents packaged for upload per semester. Meets batch processing requirements |
Three common misconfigurations
- Symptom: When parsing PDF family economic hardship certification forms, table fields are split into scattered text with no structured association. Cause: The
customPdfParsetable structured parsing configuration is not enabled, causing table content to be treated as plain text during splitting. - Symptom: When calling the API to retrieve chunk index content, returned fields are empty or have no corresponding content. Cause: The chunk index generation rule for
chunkSettingModeis not configured correctly, or chunk parameter settings exceed system compatibility limits. - Symptom: Timeout errors occur when uploading packaged batch semester documents. The interface prompts parsing timeout. Cause:
PARSE_FILE_TIMEOUT_SECONDSis not set to a duration suitable for batch documents, causing parsing of large single files to be interrupted before completion.
How to verify correct configuration
- Upload a single typical document, such as a PDF family economic hardship certification form. View the parsed chunk preview to confirm that table fields are not split into scattered text.
- Call the API to retrieve chunk data for this document. Check that chunk indexes and content match the preview results.
- Upload packaged batch semester documents. Verify that the upload and parsing process does not experience timeout interruptions.
- Adjust the
chunkSizeparameter. Compare chunk semantic integrity across different values to determine the setting that meets business requirements.
The values provided are common starting points and should be evaluated against samples appropriate to the specific use case.
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.