What the data for this category looks like
This category's data mainly comes from the food safety sampling monitoring system, the State Administration for Market Regulation sampling results query system, laboratory LIMS, and enterprise account books. Commonly processed documents include sampling plans, sampling slips, inspection reports, unqualified food verification and disposal reports, and risk control notices. The data update frequency is monthly. Core fields include sampling identifiers, inspection parameters, and disposal conclusions. Some inspection-related documents contain quantified test values and their corresponding units.
What constraints do these characteristics impose on the document parsing and chunking step?
The multi-source heterogeneous document characteristics of this category require document parsing and chunking to adapt to different format types. Structured sampling slips and inspection report tables need targeted table parsing logic to retain row and column associations. Long-text verification and disposal reports must retain context coherence to avoid splitting that breaks the complete logic of the disposal process. The monthly update frequency means high-frequency incremental chunking parameters do not need to be configured. Documents from multiple systems have inconsistent formats, so custom parsing must be enabled to adapt to different templates. The binding relationship between quantified test values and their corresponding units requires retaining field integrity during chunking to prevent data separation after parsing.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the length of long text paragraphs in inspection reports and verification and disposal reports, retains the contextual association between inspection items and conclusions |
chunkSplitter | Split by paragraph + title | Matches the chapter structure of sampling-related documents, avoids splitting that breaks the hierarchical logic of sampling plans and inspection items |
customPdfParse | Enabled | Adapts to sampling documents with inconsistent formats exported from multiple systems, corrects table offset and text disorder issues |
UPLOAD_FILE_MAX_SIZE | 500 MB | Covers the packaged upload requirements of single-batch sampling plans and batch sampling slips, aligns with the conventional size range of regulatory documents |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to the parsing time of large inspection reports, prevents parsing failure due to timeout |
chunkSettingMode | Manual configuration | Adjusts chunking parameters for different document types (sampling slips, notices, reports) to adapt to the category-specific document structure |
Three Common Mistakes
- Parsing results are empty after passing in an external image URL. FastGPT only supports local file uploads by default. No parsing adaptation rules for external image addresses are configured, so the target image cannot be pulled and parsed.
- Parsing large inspection reports triggers a timeout error.
PARSE_FILE_TIMEOUT_SECONDSis not adjusted to a value suitable for large documents. The default timeout duration is insufficient to complete long text parsing. - The association relationship of table fields in sampling slips is lost after splitting.
customPdfParseis not enabled or the corresponding table parsing rules are not configured. Structured tables are split into scattered text.
How to Confirm the Configuration is Correct
- Upload a standard sampling slip document. Check if the parsed text retains the table row and column structure to confirm the
customPdfParseconfiguration is effective. - Upload a moderately sized inspection report. Check if the chunked content contains complete inspection items and their corresponding conclusions to confirm the
chunkSizeandchunkSplitterconfigurations are reasonable. - Call the file upload API, upload a single document within 500 MB. Confirm the upload process has no errors to verify the
UPLOAD_FILE_MAX_SIZEconfiguration meets requirements. - Check the parsing log to confirm the parsing time does not exceed the preset
PARSE_FILE_TIMEOUT_SECONDSduration to verify the timeout configuration is reasonable.
The values provided 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.