What the data for this category looks like
Daily technical documents for welded structural component manufacturing enterprises include welding procedure qualifications, welding procedure specifications, welding electrode consumption records, welder qualification records, weld inspection reports, and repair orders. Data sources cover design drawings, material quality certificates, welding equipment parameters, welding electrode warehouse ledgers, non-destructive testing system data, and personnel qualification files.
Data is updated per weld, per batch, or per shift. Documents often include multi-column structured tables and embedded parameter fields. Fields include welding electrode brand, specification, consumption quantity (unit: kg), welder certification number, non-destructive testing results, and some fields have unit identifiers.
What constraints these characteristics impose on document parsing and chunking
Heterogeneous document formats from multiple sources require parsing logic to support text, tables, and embedded drawing content. Frequently updated business data requires chunking logic to adapt to fine-grained business units such as individual welds or single batches of welding consumables, to avoid cross-unit splicing.
Multi-column structured tables mean chunking cannot rely solely on fixed character count splits. The complete semantic integrity of tables must be preserved. Qualification and process documents with rigid constraints require that key parameter integrity be maintained after chunking. Failure to do so will reduce the accuracy of subsequent cross-review.
How to set configurations
These configurations are based on FastGPT v4.17.0 logic:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Matches the average length of a single business record in welding documents, to avoid splitting complete welding electrode consumption records or repair orders across multiple chunks |
chunkSplitter | Split by "paragraph + table block" | Welding documents contain many multi-column structured tables. Splitting by natural paragraphs would break table field integrity, so table blocks must be preserved separately |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Large welding procedure qualification documents include multi-page drawings and data tables, which have longer parsing times. This range covers the parsing duration of most conventional documents |
customPdfParse | Enabled | Welding documents often include embedded CAD drawings and parameter annotations. Custom parsing extracts structured fields, rather than being limited to plain text content |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to upload requirements for large welding procedure specification PDFs and documents combining multiple drawings |
chunkSettingMode | Manual mode | Document fields and business logic for welded structural component manufacturing are fixed. Manual configuration allows precise matching of actual data structures and supports parsing of multi-column tables |
Three common configuration errors
- Issue: After uploading a multi-column welding electrode consumption record table, the knowledge base only extracts the first two columns of data. Cause: The
customPdfParseconfiguration is not enabled. The default parsing logic only recognizes basic text columns and cannot fully extract multi-column structured table content. - Issue: A timeout error occurs when parsing a large welding procedure specification PDF. Cause: The
PARSE_FILE_TIMEOUT_SECONDSconfiguration value is lower than the actual parsing time of the document, causing the parsing task to be forcibly terminated. - Issue: Specific weld repair order content cannot be located during post-chunking retrieval. Cause: The
chunkSizeconfiguration is too small, splitting the complete information of a single repair order across multiple chunks and destroying semantic integrity.
How to confirm the configuration is correct
- Upload a typical welding electrode consumption record table, and check whether the parsed text includes the field content of all columns.
- Upload a welding procedure qualification document that includes embedded drawings, and verify that key parameters from the drawing annotations are preserved after parsing.
- View the parsing log to confirm that the
chunkSplitterlogic does not split a single business record across multiple chunks. - Test post-chunking retrieval, enter a specific welder qualification number, and verify that complete document blocks containing that number are returned.
The values provided are common starting points and should be measured against the reader's own samples.