What the Data for This Category Looks Like
Welded structural component manufacturing enterprises cover the entire production process of steel structures, pressure vessels, engineering machinery, and rail vehicle structural parts in their daily operations. Core documents include welding procedure qualifications, welding procedure specifications, filler metal usage records, welder qualification records, weld inspection reports, and repair orders.
Data sources include design drawings, material quality certificates, welding equipment parameters, filler metal warehouse ledgers, non-destructive testing systems, and personnel qualification ledgers. Updates occur once per weld, per batch of filler metal, or per production shift.
Documents have fixed fields such as filler metal brand, welder qualification certificate number, non-destructive testing defect location, and repair requirements. Some documents embed engineering drawings or images.
What Constraints These Characteristics Impose on Document Parsing and Chunking
Business data for welded structural component manufacturing comes from multiple sources, including mixed-format documents such as PDFs with embedded drawings and DOCX files. Parsing must support multiple formats and extraction of embedded images.
Data updates are frequent and split by business unit. Chunking must match the smallest business units, such as individual weld records or single-batch filler metal ledgers, to avoid invalid cross-unit chunks.
Documents have rigidly constrained qualification and process fields. Chunking must preserve the contextual association of fields. For example, place welder qualifications and corresponding weld inspection reports in the same chunk to ensure business integrity during retrieval.
Configuration Settings
This document is written for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | The content length of core welded structural component documents (such as a single weld inspection report) usually falls within this range, preserving complete context for process parameters and test results |
chunkSplitter | Split by paragraph + header and footer | Daily documents such as welding procedure specifications are divided by chapter. Splitting by paragraph preserves the continuity of individual process steps and avoids splitting core process logic |
customPdfParse | Enabled | Documents often contain embedded design drawings and non-destructive testing images. Custom parsing extracts image metadata and corresponding text descriptions, avoiding image parsing errors |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Archived documents containing multiple engineering drawings take longer to parse. This setting prevents parsing timeouts for large documents |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Archived documents for welded structural components often combine multiple drawings and ledgers. This upper limit covers the size requirements of standard archived documents |
chunkSettingMode | Manual mode | Adjust chunk granularity for different document types such as procedure specifications, inspection reports, and qualification ledgers to adapt to structural differences across business documents |
Three Common Mistakes
- Scenario: When uploading a DOCX file with embedded non-destructive testing images, the returned result displays the
Invalid image fileerror. Cause: ThecustomPdfParseconfiguration is not enabled, and embedded non-standard image formats in engineering documents are not supported. - Scenario: When parsing a large archived PDF in the knowledge base, logs continuously report
slow operation xxxxms. MongoDB responds normally, but the parsing task ultimately fails. Cause: ThePARSE_FILE_TIMEOUT_SECONDSsetting value is lower than the actual parsing time of the document, causing a timeout interruption. - Scenario: Markdown-formatted weld inspection report tables are truncated in the output, only showing
...[hide 38432 char]. Cause: ThechunkSizesetting is too small, failing to reserve sufficient space for complete long table content, resulting in truncated text during chunking.
How to Verify Proper Configuration
- Upload a single DOCX document containing weld non-destructive testing images, and confirm that the parsing result retains image metadata and corresponding text descriptions.
- Upload a multi-drawing archived PDF within the 1000 MB size limit, and confirm that the parsing process does not trigger timeout errors.
- Test parsing a welding procedure specification document, and confirm that chunking results are split by chapter and do not split continuous content of core process steps.
- View system parsing logs, and confirm that task execution time does not exceed the
PARSE_FILE_TIMEOUT_SECONDSsetting value.
The values provided are common starting points and should be measured against relevant samples.