What Data Looks Like for This Category
Data for this category comes from product 3D models and GD&T, process routes, coordinate measuring machine (CMM) data, on-site trial feedback, and metrology systems. Daily documents include fixture requirement specifications, positioning datum schemes, fixture drawings, gauge operation manuals, acceptance reports, calibration records, and change histories. Document structures include fields such as GD&T tolerance annotations, version numbers, effective dates, and micrometer-level measurement values. Update cycles are triggered by project progress, product changes, and regular calibrations. Unlike the mold category, this category’s data focuses on positioning, clamping, and inspection workflows, and does not include complete product forming process content.
What Constraints Do These Characteristics Impose on Knowledge Base Retrieval and Recall
The specialized engineering data and non-standardized document structure of this category require retrieval and recall processes to prioritize matching exclusive terms such as GD&T tolerances and positioning datums. Document length varies widely, from single-page calibration records to dozens of pages of fixture design plans. Different chunking rules must be supported. Update cycles are not fixed, so incremental synchronization of change histories and latest calibration data must be enabled. Retrieval results must be linked to specific process steps to avoid generalized matching that could lead to clamping deviations or gauge misjudgments.
How to Configure Settings
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
similarity | 0.75–0.85 | This category contains high-precision engineering parameters. Low-match results must be filtered to avoid clamping deviation misjudgments |
limit | Top 8 results | Fixture process-related retrieval needs to cover positioning, interference, and calibration dimensions. 8 results balance context length and coverage |
usingReRank | Enabled | This category has many specialized terms. Reranking improves the accuracy of professional semantic matching |
datasetSearchUsingExtensionQuery | Enabled | Can supplement associated terms for process specifications, covering hidden needs from positioning datum conversion |
searchMode | embedding | Adapts to the semantic matching needs of unstructured engineering documents in this category |
Three Common Misconfigurations
- Phenomenon: When uploading a single document, it shows 8 chunks, then the status changes to 13 chunks with duplicate fragments. Cause: Duplicate check for document upload is not enabled, so the system repeatedly parses duplicate text blocks within the document.
- Phenomenon: Queries containing positioning datums or interference verification cannot retrieve corresponding process specification content. Cause: The
similaritythreshold is not adjusted to the range suitable for this category, causing high-match results to be filtered out. - Phenomenon: Multiple knowledge bases cannot be specified for retrieval via variable selection. Cause: The binding relationship between variables and knowledge bases is not configured correctly, and the
collectionIdsparameter is not used to associate the target knowledge base collection.
How to Verify Successful Configuration
- Upload a single typical fixture design document, verify the number of chunks matches expectations, and no duplicate fragments are present.
- Submit a query containing GD&T tolerances or positioning datums, verify retrieval results include relevant fragments of the corresponding process specifications.
- Configure variables to associate multiple target knowledge bases, verify retrieval recalls document content from the corresponding knowledge bases simultaneously.
- Review the similarity scores of retrieval results, confirm the scores fall within the preset 0.75–0.85 range.
The values provided are common starting points and should be measured against the reader's own samples.