What the Data for This Category Looks Like
Daily documents for this category include welding procedure qualification records, welding procedure specifications, consumable issue records, welder qualification records, weld inspection reports, repair orders, and more. Data sources cover design drawings, material quality certificates, welding equipment parameters, consumable warehouses, non-destructive testing systems, and personnel qualification ledgers. Data updates proceed alongside each weld, batch of materials, or shift work. Document structures include fields such as professional process parameters, test values, and qualification numbers. Units include millimeters, hours, batch numbers, and other professional engineering units. Some documents use tabular structured formats.
What Constraints Do These Characteristics Impose on the Document Parsing and Chunking Link
Multi-source heterogeneous data sources require parsing tools to adapt to documents in different formats, including PDF process files, Excel ledgers, and Confluence pages stored on internal networks. The high-frequency update business rhythm requires efficient parsing processes, to avoid delaying traceability efficiency due to timeouts or chunking delays. Professional fields and structured formats require chunking logic to retain contextual associations of key information, and must not arbitrarily split the binding relationship between process parameters, test results, and corresponding welds. Business rules with rigid qualification requirements require precise extraction of core fields such as welder certificate numbers and consumable grades, to avoid missing key verification information.
Configuration Settings
This configuration is based on the logic of FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the professional paragraph length of welding procedure specifications and weld inspection reports, avoiding splitting the association between key process logic and test results |
chunkSplitter | Paragraph + semantic chunking | Matches structured paragraphs in repair orders and weld inspection reports, retains the context of non-destructive testing results and weld numbers |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Addresses parsing needs for large welding documents over 1000 pages, avoids parsing interruptions due to excessive time consumption |
customPdfParse | Enable structured parsing mode | Adapts to PDFs exported from design drawings and tabular content in weld inspection reports, accurately extracts fields such as weld numbers and test values |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Meets upload needs for single large welding process documents or batch non-destructive testing reports, covers most business scenarios |
chunkSettingMode | Manual configuration mode | Adjusts chunking parameters separately for different document types (such as Excel consumable ledgers, PDF process files) to adapt to multi-source data formats |
Three Common Misconfigurations
- Symptom: Internal network Confluence pages cannot be parsed, returning empty results or parsing failure prompts. Cause: Internal network access permissions or proxy rules are not configured. FastGPT only supports public network address parsing by default.
- Symptom: After parsing Excel consumable issue ledgers, the large model returns incomplete interaction prompts. Cause: The
chunkSizeparameter is not adjusted. The default chunk size is too large, causing key fields to be truncated and preventing effective question-and-answer triggers. - Symptom: After parsing batch weld inspection reports, chunked content is duplicated or key information is lost. Cause:
chunkSplitteris not set to paragraph-based chunking. Cross-weld content is mistakenly merged into a single chunk.
How to Verify Correct Configuration
- Upload a single welding procedure specification PDF with over 500 pages. Confirm parsing completes within the configured
PARSE_FILE_TIMEOUT_SECONDSwindow. - Upload an Excel file of consumable issue records. Verify that core fields such as consumable grades and issue batches are extracted correctly after parsing.
- Adjust
chunkSizeto 800 characters, upload a weld inspection report. Check that the association between non-destructive testing results and weld numbers is retained after chunking. - Test parsing of internal network Confluence pages. Confirm that content can be extracted normally after configuring the corresponding access permissions.
The values listed are common starting points, and should be assessed against the applicable samples.