What Data for This Category Looks Like
Daily data for elderly care service institution supervision is collected from elderly care service information platforms, civil affairs statistics systems, fire inspection records, and institution operation ledgers. Updates occur on a monthly basis. Common documents include institution filing materials, operation subsidy application documents, service quality inspection forms, safety hazard rectification ledgers, and elderly admission files. Most documents contain fixed fields such as institution name, bed count, inspection date, rectification items, and subsidy application details. Field formats and units must align with unified civil affairs supervision standards.
Constraints for Document Parsing and Chunking
Monthly batch-updated documents have diverse formats, including scanned PDFs, formatted Word documents, and structured tables. The parsing process must support multi-format input. Fixed fields in documents are closely tied to supervision requirements. When chunking, the connection between section titles and corresponding content must be preserved. This prevents splits that break alignment with supervision report logic. Single documents may have large file sizes, and batch upload scenarios are common. The parsing process must maintain stability and include timeout fault tolerance. At the same time, the accuracy of supervision data directly affects subsidy distribution and safety supervision. Parsing or chunking errors will directly reduce the effectiveness of subsequent ledger summary and report generation.
Configuration Settings
This configuration was tested and verified on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Elderly care supervision documents contain both short fields and long paragraphs. This range balances context completeness and chunk granularity, preventing single chunks from mixing different supervision entries |
chunkSplitter | Split by title + paragraph | Elderly care documents often divide inspection items, rectification items, and application materials by chapter. Splitting by title preserves the association between entries and their parent chapters |
customPdfParse | Enabled | Adapts to scanned forms and structured tables in elderly care filing materials, accurately extracting supervision fields such as institution name and bed count |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Covers parsing time for single large-volume ledger documents and batch uploads, preventing parsing failures due to timeout |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports institutions uploading compressed packages of full-month operation ledgers, meeting the needs of batch data submission |
chunkSettingMode | Manual configuration | Sets differentiated chunking rules for different document types, such as inspection forms and subsidy applications, adapting to diverse supervision document formats |
Three Common Misconfigurations
- Symptom: Form fields are missing or empty in the parsing result after uploading a PDF document. Cause:
customPdfParseis not enabled, and no form parsing rules for elderly care supervision documents are configured, so structured fields cannot be extracted. - Symptom: RAG retrieval results only return body content, without accompanying section title information. Cause: Chunk configuration does not retain title context, and
chunkSplitteris not set to associate titles with corresponding paragraphs, so retrieval cannot align with the chapter logic of supervision reports. - Symptom: Parsing times out or fails when uploading monthly ledgers in batches. Cause: The value set for
PARSE_FILE_TIMEOUT_SECONDSis too low, and does not adapt to the processing time required for large-volume batch documents.
How to Verify Correct Configuration
- Upload a PDF of an elderly care service quality inspection form, and check whether the parsing result fully extracts fields such as inspection items and inspection date, and retains the association between section titles and corresponding content.
- Upload a single document not exceeding 1000 MB, and confirm that the parsing process completes within the time set by
PARSE_FILE_TIMEOUT_SECONDS, with no timeout errors. - Run a RAG retrieval test, and confirm that the returned results include chunked titles and corresponding body content, and can align with the chapter logic of supervision reports.
- Upload three or more monthly operation ledger documents in batches, and confirm that the upload and parsing processes have no errors, and the generated chunked data can be normally used for ledger summary.
The values given here 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.