What the data for this category looks like
Data for this category primarily comes from senior care service information platforms, civil affairs statistics systems, fire safety inspection records, and facility operation ledgers. The update frequency is monthly. Daily processed documents include filing materials, operation subsidy applications, service quality inspection forms, safety hazard rectification ledgers, and elderly admission files. Document structures cover structured forms, semi-structured business descriptions, and tabular data. Common fields include facility qualification numbers, bed counts, service visit counts, rectification item lists, and more. Corresponding units are beds, visits, days, and similar units.
Constraints on Document Parsing and Chunking
Monthly batch-updated documents require the parsing process to support batch processing to avoid single-file timeouts. Mixed formats from multiple sources need parsing logic adapted to PDF forms, Excel tables, plain text ledgers, and other formats. Many structured fields and business-related items require chunking to retain contextual associations between fields. Key information such as facility names and corresponding subsidy amounts, rectification items and rectification deadlines must not be split. Business logic units vary significantly across different document types, so chunking rules must be flexibly adjusted to accommodate filings, subsidy applications, inspection records, and other material types.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Senior care regulatory documents often contain structured business fields and long text descriptions. This range preserves the integrity of individual business logic and avoids splitting key associated items such as bed counts and subsidy amounts. |
chunkSplitter | Semantic chunking | Senior care documents include independent business units such as rectification ledgers and subsidy applications. Semantic chunking retains complete business context and adapts to multiple document structure types. |
customPdfParse | Enable table parsing mode | Filing materials and service quality inspection forms are mostly in PDF form format. Enabling this mode accurately extracts structured fields such as beds, inspection items, and rectification requirements within tables. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | When batch processing multiple documents updated monthly, this prevents task failure due to excessive single-file parsing time. |
UPLOAD_FILE_MAX_SIZE | 100 MB | Adapts to the common size of multi-page filing materials and operation ledger files submitted by senior care facilities. |
chunkSettingMode | Manual configuration | For different document types such as filing materials, subsidy applications, and inspection ledgers, chunking parameters can be flexibly adjusted to meet the needs of their respective business fields. |
Three Common Errors
- When attempting to upload CSV or Excel format declaration materials, the interface returns an error prompt that the file format is not supported. The cause is that the corresponding structured file parsing mode is not enabled. By default, only PDF and TXT formats are supported for parsing.
- When using an externally deployed large language model, table fields are empty and inspection item content is missing in the parsed documents. The cause is that
customPdfParseis not configured to adapt to structured forms, resulting in failure to accurately extract fields from table-based documents. - After batch uploading monthly operation ledgers, the vectorization process takes longer than expected. The cause is that the
chunkSizeparameter is not adjusted. An excessively small chunk length leads to too many generated chunks, increasing the computational load of subsequent vectorization.
How to Confirm Proper Configuration
- Upload a single senior care facility filing material PDF, check the parsed chunk content, and confirm that key fields such as bed counts and facility qualifications are not split across different chunks.
- Upload an Excel format service quality inspection form, and confirm that inspection items, rectification requirements and other content within the table are fully extracted and retain their original structure.
- Batch upload 10 monthly operation ledger files, and check that all parsing tasks are completed within the duration set by
PARSE_FILE_TIMEOUT_SECONDS. - After adjusting the
chunkSizeparameter, compare the number of chunks and business context integrity across different chunk lengths, and confirm that they meet the actual needs of current document processing.
The values given 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.