What the data for this category looks like
Core data for this category comes from design drawings, material quality certificates, welding equipment parameters, filler metal inventory, non-destructive testing systems, and personnel qualification ledgers. Daily retained documents include welding procedure qualifications, welding procedure specifications, filler metal issue records, welder qualification records, weld inspection reports, and repair forms. Data updates are triggered per weld, per batch of materials, or per shift operation. Single documents mostly contain structured fields such as welding parameters, qualification numbers, and inspection results. Some drawing documents include unstructured geometric dimensions and process requirements.
How These Characteristics Impose Constraints on Knowledge Base Retrieval and Recall
High-frequency and fine-grained data updates require the retrieval system to support high-frequency incremental synchronization, to avoid recalling outdated filler metal qualification or repair records. Documents contain both structured fields and unstructured drawing content, so the retrieval system must balance semantic retrieval and structured field matching. Each individual weld corresponds to independent process and inspection data, so retrieval must support quick positioning by weld number or batch number, to avoid confusing parameters of multiple workpieces in the same batch. Quality inspection and repair data are closely associated, so recall results must cover both process requirements and inspection results to ensure the completeness of maintenance Q&A.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Filter low-match irrelevant welding process documents while retaining recall results targeting specific weld parameters |
limit | Top 8–12 entries | A single batch of weld data has a large volume, so control the number of recalled entries to avoid context overload, while covering multi-dimensional process requirements |
searchMode | mixedRecall | Balance structured qualification numbers, equipment parameters and unstructured process specification content, matching the mixed characteristics of documents in this category |
usingReRank | Enabled | Semantic relevance requirements for welding processes and inspection results are high, and re-ranking filters incorrectly recalled general welding documents and focuses on dedicated data for the current workpiece |
datasetSearchUsingExtensionQuery | Enabled | Automatically expand user inspection questions into query terms including filler metal models and welder qualifications, matching multi-field associated business scenarios of this category |
collectionIds | Fill in the enterprise-specific knowledge base collection ID | Ensure retrieval only recalls documents exclusive to this welded structural component manufacturing enterprise, avoiding mixing irrelevant data from other categories |
Three Common Configuration Errors
- Symptom: No associated welding process data is returned after calling the chat interface, and the interface returns empty results. Cause: The
collectionIdsparameter was not filled correctly, and the enterprise-specific welded structural component knowledge base collection was not bound. - Symptom: General welding tutorials account for too high a proportion in retrieval results, and cannot match the weld inspection requirements of specific pressure vessels. Cause: The
similaritythreshold was set below 0.7, orusingReRankwas not enabled, failing to filter low-relevance non-exclusive documents. - Symptom: Retrieval results for a specific weld number are missing, and the corresponding procedure qualification document cannot be located. Cause: Hybrid retrieval mode was not enabled, and only semantic retrieval was relied on, which cannot match structured weld number fields.
How to Verify Proper Configuration
- Use the FastGPT v4.17.0 system, upload a welder qualification record document, initiate an inspection question that includes the welder's number, and confirm that the recall results include this document.
- Adjust the
similaritythreshold to 0.8, initiate a query that includes repair form content, and confirm that low-match general welding documents are not present in the recall results. - View the retrieval log to confirm that
datasetSearchUsingExtensionQueryis active, and the query term has been automatically expanded to include filler metal models and equipment parameters as complete content. - Verify that the
limitparameter is set to the top 10 entries, and the number of results returned by a single retrieval does not exceed 12, meeting context length requirements.
The values provided are common starting points and should be evaluated against applicable operational samples.