What the Data for This Category Looks Like
Daily documents for this category include fixture requirement specifications, positioning datum schemes, fixture drawings, gauge operation manuals, acceptance reports, calibration records, and change histories. Data sources include product digital models and GD&T, process routes, coordinate measuring machine data, on-site trial feedback, and metrology systems. Updates are triggered by project progress and each product change, with regular iterative updates to calibration records. Documents contain structured content such as engineering annotations, numerical parameters, and operation steps. Fields cover professional content including GD&T tolerance values, coordinate measuring machine measurement results, calibration cycles, and change version numbers.
Constraints on Document Parsing and Chunking
Documents in this category contain mixed-text and image fixture drawings, structured metrology data, and change records. Parsing and chunking must retain the integrity of professional fields, and avoid splitting key information such as GD&T annotations and coordinate measuring machine measurement values. Following the update rhythm of projects and changes, chunking must support incremental parsing and version association, to ensure that maintenance Q&A can match the corresponding updated fixture data. At the same time, document volume varies widely, ranging from single-page operation manuals to multi-page coordinate measuring machine reports. Parsing must adapt to documents of different lengths, avoid losing key content due to improper chunking configuration, and prevent maintenance suggestion deviations caused by incorrect chunking results.
Configuration Settings
The following configurations are formulated based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the mixed-text and image document structure of this category, and retains the integrity of professional content such as GD&T annotations and calibration records |
chunkSplitter | Split by title + paragraph | Matches the hierarchical structure of fixture documents, such as subsections under positioning datum schemes and entries in change histories |
customPdfParse | Enabled | Supports parsing fixture PDF drawings with vector annotations, and retains metadata such as GD&T tolerances and coordinate measuring machine data |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to the parsing duration of large coordinate measuring machine data reports, and avoids parsing failures caused by timeouts |
chunkSettingMode | Manual configuration | Adjusts chunking thresholds for short documents such as change histories and acceptance reports, to avoid splitting key entries |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to the upload requirements of multi-page fixture drawing collections, and meets the parsing requirements of large project documents |
Three Common Configuration Mistakes
- Inconsistent segmentation between uploaded files and direct platform uploads, with significant differences in the number of returned chunks. The cause is that the default
chunkSizeparameter values triggered by the two upload methods are different, and the chunking rules for global or API calls are not unified. - No data returned when configuring custom URL parsing, with no error prompt on the interface. The cause is that
customPdfParseis not enabled and the access permission for the corresponding document is not configured, so remote document content cannot be pulled normally. - The model cannot read uploaded files, the node status shows parsing succeeded but the content is empty. The cause is that
chunkSizeis set too small, splitting short documents such as calibration records and change histories into chunks with no valid information, preventing the model from matching key content.
How to Verify Correct Configuration
- Upload the same fixture and gauge operation manual via direct platform upload and via the create file collection API respectively, compare the chunk results of both, and confirm that the segmentation logic and content integrity are consistent.
- Upload a fixture PDF drawing with GD&T annotations, enable
customPdfParse, then check the parsed content, and confirm that professional annotation information such as tolerance values and datum symbols is included. - Upload a roughly 100-page coordinate measuring machine data report, check the parsing log, and confirm that no timeout error corresponding to
PARSE_FILE_TIMEOUT_SECONDSis triggered. - Call the equipment inspection and maintenance Q&A function, test extracting the validity period from calibration records and the version number from change histories, and verify that the model can accurately obtain key content.
The values provided are common starting points and should be measured against the reader's own samples.