What This Category of Data Looks Like
Core data for this category originates from purchase orders, drawing specifications, supplier quality certificates, inspection equipment records, historical quality data, and supplier portals. Daily processed documents include inspection specifications, sampling plans, incoming material reports, supplier audit reports, exception contact sheets, 8D correction sheets, and concession acceptance approval forms. Data updates coincide with each batch of incoming materials, monthly or quarterly supplier evaluations, and irregular audits. Document structures include fields such as batch number, quantity submitted for inspection, inspection items, qualified judgment items, and supplier number. Some documents include numeric parameters and units.
Constraints for Document Parsing and Chunking
This category of data has multi-source and multi-format characteristics. The parsing workflow must support multiple document types including xlsx, pdf, ppt, and word. It must also adapt to format differences across documents submitted by different suppliers. The high-frequency update rhythm of the business requires the parsing and chunking process to be timely. Delays in parsing must not disrupt incoming material inspection progress. Documents contain strongly associated fields such as batch number and supplier number. Chunking must retain these key identifiers. This ensures subsequent cross-review can accurately trace back to the corresponding document and supplier. Additionally, business errors carry severe consequences. The parsing workflow must avoid encoding errors and missing core fields in chunking. This safeguards the integrity of review basis.
Configuration Settings
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | This range balances field integrity and semantic coherence, as incoming material inspection documents include both short fields and long text descriptions |
chunkSplitter | By paragraph + semantic boundary | Supplier documents have diverse formats. Paragraph splitting preserves the logical structure of documents such as inspection specifications and exception contact sheets |
customPdfParse | Enable automatic encoding detection | This avoids encoding error messages like the argument ‘windows-1252’ is invalid encoding for PDF documents submitted by some suppliers |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Bulk incoming material documents have large file sizes. This duration covers the complete parsing process for multi-format files |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports uploading large-volume documents such as bulk drawings and quality certificates submitted by suppliers |
chunkSettingMode | Manual configuration | This allows adjusting chunking rules for category-specific documents such as xlsx spreadsheets and ppt audit reports, adapting to different document structures |
Three Common Misconfigurations
- After uploading an xlsx-format incoming material report, chunking results miss header fields. This occurs because table-specific chunking configuration is not enabled. The default chunking rule does not recognize table structures, leading to loss of core inspection information.
- When parsing a ppt-format supplier audit report, an error message
the argument ‘windows-1252’ is invalid encodingappears. This happens because automatic encoding detection is not enabled, and default encoding is used to parse non-standard encoded text embedded in the ppt. - After batch uploading multiple supplier quality certificates, the parsing task times out and fails. This is because
PARSE_FILE_TIMEOUT_SECONDSis set too short, failing to cover the parsing duration for large-volume batch documents.
How to Verify Correct Configuration
- Upload a single xlsx-format incoming material report, and check whether the chunking results include core fields such as inspection batch and inspection result.
- Upload a PDF document using non-standard encoding, and confirm that no encoding error occurs during parsing.
- Adjust the
chunkSizeparameter, compare chunking semantic integrity across different values, and select the value that aligns with the logical structure of category documents. - Batch upload 10 supplier audit reports, and confirm that the upload and parsing process does not trigger file size or timeout limit error messages.
The values provided are common starting points and should be assessed against applicable samples.