What the data for this category looks like
Daily documents for this category include elderly care institution filing materials, operation subsidy application materials, service quality inspection reports, safety hazard rectification ledgers, elderly admission files, and similar items. Data is mainly sourced from elderly care service information platforms, civil affairs statistics systems, fire safety inspection records, and institution operation ledgers, with a monthly update frequency. Most documents use fixed form formats, while some ledgers are sequential records. Fields include institution name, bed count, inspection date, hazard items, rectification requirements, and similar items. Units include sheets, square meters, person-times, and similar units.
What constraints do these characteristics impose on the document parsing and chunking stage
The structured nature of fixed form documents requires that chunking retain field associations, and avoid splitting cross-row form content. Otherwise, the association of core supervision information will be broken. Differences in document formats from multiple sources, such as standardized tables exported from systems and scanned copies of handwritten ledgers, require adaptation to different parsing rules. Otherwise, issues such as incomplete field capture and format disorder will occur. Batch document processing with monthly updates requires the parsing link to have a stable timeout fault-tolerant mechanism to avoid a single parsing timeout affecting the overall supervision data synchronization process. At the same time, core fields of supervision documents such as institution filing number and bed count data must be fully retained, and the chunk length must match the context requirements of subsequent Q&A to ensure that policy basis and corresponding institution-related information are not separated.
How to configure settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Aligns with the form and ledger length of supervision documents, retains context associations of core fields |
chunkSplitter | Split by headings and paragraphs | Matches the structure of policy clauses and inspection records in documents, avoids splitting cross-item form content |
customPdfParse | Enable structured parsing mode | Adapts to the fixed form format of elderly care institution filing materials and subsidy applications, improves the completeness of field capture |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers the parsing time of monthly batch documents, prevents overall process interruption due to single-file timeout |
chunkSettingMode | Manual configuration | Adjust chunking parameters for different document types such as table-type and text-type to adapt to multi-source data characteristics |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Allows upload of large elderly care institution ledger files, prevents parsing failure due to file size restrictions |
Three common configuration errors
- Phenomenon: After uploading elderly care institution filing materials or monthly ledger files, the parsing node shows no progress and no error logs. Cause: The structured parsing mode of
customPdfParseis not enabled, orPARSE_FILE_TIMEOUT_SECONDSis set too short, causing the background process to be forcibly terminated. - Phenomenon: Only partial column content is captured from table data exported from the elderly care service information platform. Cause:
chunkSplitteris configured to split by fixed characters, and does not adapt to the cross-column structure of the table, resulting in field truncation. - Phenomenon: Slow operation related prompts appear continuously in logs when batch uploading monthly service quality inspection reports. Cause:
PARSE_FILE_TIMEOUT_SECONDSis set lower than the actual parsing time, orUPLOAD_FILE_MAX_SIZEdoes not match the upload requirements of large ledger files.
How to verify correct configuration
- Upload a single elderly care institution filing material, check whether the parsed text retains the complete association of core fields such as institution name and filing number.
- Batch upload monthly service quality inspection reports, confirm that the parsing progress is completed within the time set by
PARSE_FILE_TIMEOUT_SECONDS, with no timeout errors. - After adjusting the
chunkSizeparameter, test whether the Q&A can fully retrieve the rectification requirements and corresponding institution information of a single ledger, with no content missing. - Upload a large ledger file over 500MB, confirm that the
UPLOAD_FILE_MAX_SIZEsetting allows upload of this file and parsing proceeds normally.
The values listed 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.