What the data for this category looks like
Daily documents for tooling, fixture and gauge manufacturing include tooling requirement documents, positioning datum schemes, fixture drawings, gauge operation manuals, acceptance reports, calibration records, and change histories. Data sources cover product digital models and GD&T, process routes, coordinate measuring machine data, on-site trial feedback, and metrology systems. Updates proceed per project, tied to each product change and regular calibration. Document structures include professional engineering parameters, hierarchical descriptions, and structured tables. Fields include professional content with clear units such as geometric dimensioning and tolerancing, clamping force, and calibration cycle.
What constraints these characteristics impose on the document parsing and chunking link
Mixed document types including engineering drawings, professional tables, and operation instructions require parsing tools to support both vector annotations and text content. This avoids losing parameter descriptions linked to drawings. Units and symbols for professional fields must be fully retained, and term combinations cannot be split during chunking. The update rhythm tied to projects and changes requires chunking to associate document version information, to avoid mixing content across versions. Long documents such as coordinate measuring machine reports must be split accurately, and continuous measurement sequences and conformity determination content cannot be truncated.
The following configurations are based on FastGPT v4.17.0
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the length of GD&T tables and positioning scheme paragraphs in tooling documents, avoids splitting professional term combinations |
chunkSplitter | Separate by paragraphs + headings | Matches the hierarchical structure of tooling documents, retains contextual associations between requirement documents, schemes, and drawing descriptions |
customPdfParse | Enable structured extraction | Adapts to the PDF format of fixture drawings and gauge operation manuals, extracts vector graphic annotations and embedded table data |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers the parsing time of long coordinate measuring machine data documents, avoids interrupting the parsing process due to timeout |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports uploading attachments linked to large product digital models, meets the storage requirements for project-level documents |
chunkSettingMode | Manual configuration | Adjusts chunking rules to adapt to different document types such as calibration records and change histories, to match professional fields |
Three common misconfigurations
- No activity on the parsing node after uploading a file, with logs showing slow operation xxxxms. The cause is failure to adjust the
PARSE_FILE_TIMEOUT_SECONDSparameter, where the parsing time of long documents exceeds the default threshold. - Only partial data is captured from database tables. The cause is failure to enable the structured extraction mode of
customPdfParse, where cross-page tables in mixed-format documents are split as plain text, resulting in missing intermediate content. - Markdown table output is truncated. The cause is an overly small
chunkSizesetting, which splits complete GD&T tolerance tables into multiple segments, leading to content breaks during subsequent rendering.
How to confirm the configuration is properly set
- Upload a typical fixture acceptance report, review the parsed chunking results, and confirm that GD&T parameters and units are not split.
- Check the parsing logs to confirm there are no timeout errors, verifying that the
PARSE_FILE_TIMEOUT_SECONDSconfiguration takes effect. - Upload a tooling digital model attachment larger than 500 MB, and confirm that the upload and parsing processes are not interrupted.
- Compare the original document with the chunked text, confirm that all professional fields are fully retained, with no missing calibration records or change history content.
The values provided are common starting points and should be measured against the reader's own samples.