What the data for this category looks like
Data primarily comes from public finalized reports, test archives, official promotional materials, and operation manuals of military research institutions. Update rhythm adjusts with model project initiation, finalization, and fielding stages. Update frequency is lower after fielding, while new research models release staged parameter documents by phase. Document structure falls into three categories: technical parameter tables, operation guides, and marketing promotional materials. Technical parameter tables include fields such as caliber, maximum range, and total weight, with units millimeters, kilometers, and kilograms respectively. Operation guides include steps such as system startup, parameter tuning, and fault troubleshooting. Marketing materials include product highlight descriptions and application scenario descriptions.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Ordnance equipment technical parameter and operation step documents are generally lengthy, with strong logical connections between steps. Multi-turn dialogue must strictly follow operation order to associate context. Public parameter fields have uniform units but strong category specificity. Prompt engineering must clearly specify unit matching rules to avoid confusion. There is a large audience gap between marketing materials and technical documents. Multi-turn dialogue must distinguish between technical consultation and marketing promotion scenarios, and reset context association logic when switching. Some operation steps include precondition checks. Multi-turn dialogue must record pre-operation status to ensure accuracy of subsequent steps.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Ordnance equipment operation manuals and marketing materials are generally lengthy, requiring sufficient context to associate steps and parameter information |
promptTemplate | Concatenate by category of ordnance equipment technical parameters, operation steps, and marketing materials, specify unit matching rules | Differentiate between document types, clarify field unit requirements, and avoid generated content conflicting with category parameters |
retrievalTopK | Top 6–8 entries | Ordnance equipment documents have many categories, requiring sufficient retrieved related items to cover technical and marketing content, while avoiding redundancy |
similarityThreshold | 0.72–0.78 | Ordnance equipment has high parameter accuracy requirements, requiring filtering of low-correlation retrieval results while retaining matching content for specific scenarios |
conversationHistoryMaxLength | Top 10–15 dialogue rounds | Ordnance equipment operation steps have strong multi-turn characteristics, requiring sufficient dialogue history to ensure step coherence while avoiding context overload |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Analyze specific issues on a case-by-case basis, and test on applicable samples before finalizing settings.
Three common misconfigurations
- Phenomenon: AI dialogue module returns 422 status code. Cause: Knowledge base retrieval results are empty or parameter configuration exceeds interface limits. Lengthy ordnance equipment documents cause concatenated retrieval results to exceed model context thresholds.
- Phenomenon: Local dialogue records disappear after refreshing the conversation window, but records remain visible in the backend. Cause: Local cache synchronization for dialogue records is not enabled. Records are only stored in the backend database, and the frontend does not actively pull historical data.
- Phenomenon: The AI dialogue module omits steps when outputting system operation guides. Cause: The prompt does not explicitly specify that step numbers from the operation manual must be fully referenced. Multi-turn dialogue context does not associate execution status of prior steps.
How to confirm configurations are correctly set
- Upload a single ordnance equipment operation manual document, trigger multi-turn dialogue testing, and verify that retrieved results include complete steps and parameter fields from the document.
- Initiate more than 10 consecutive dialogue rounds associated with operation steps, and verify that dialogue history is fully retained, with matching frontend and backend records.
- Modify the
similarityThresholdparameter, test the number of retrieval results under different thresholds, and confirm that the matching range meets the parameter accuracy requirements for ordnance equipment. - Configure an external AI channel, initiate a dialogue, and verify that returned content complies with unit and terminology specifications for the ordnance equipment category, with no obvious parameter errors.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.