What the Data for This Category Looks Like
Data mainly comes from securities firm military industry research reports, publicly released technical white papers from military industry groups, monthly/quarterly industry briefings from national defense and military industry associations, and publicly available equipment development announcements from military authorities. The update schedule is triggered by industry events: update frequency increases during major equipment project initiation, finalization, and commissioning milestones, with regular monthly updates. Document structures typically include equipment model parameters, development progress, industry chain supporting data, and market size estimates. Fields include equipment code, core performance indicators, supporting enterprise names, publishing institutions, and publication dates. Units are mostly professional military measurement units such as kilometers, knots, millimeters, and hundreds of millions of yuan.
Constraints on Multi-turn Dialogue and Prompt Configuration
Ordnance equipment research report characteristics including professional equipment codes, exclusive measurement units, and event-driven updates impose multiple constraints on multi-turn dialogue and prompt configuration. First, the correspondence between equipment codes and performance parameters must be clearly defined in the prompt to avoid the model confusing different models of the same type of equipment. Second, the event-triggered non-fixed update schedule requires multi-turn dialogue to retain context associations, supporting users to ask follow-up questions related to the latest milestones. Third, the need to retrieve industry chain supporting data across documents requires configuring a sufficiently large context window to carry associated information during multi-turn interactions. Fourth, the unified requirement for professional measurement units must be clearly specified in the prompt, requiring the model to strictly use the original units without arbitrary conversions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Ordnance equipment research reports have long individual lengths, and multi-turn dialogue needs to retain associated information from multiple reports |
recall_top_k | Top 8–12 results | Research reports contain a large number of professional parameters, requiring sufficient retrieved relevant documents to cover information across different dimensions |
prompt_template | "This assistant is a professional military industry research report interpretation assistant. It must strictly use the original measurement units, identify the specific model corresponding to the equipment code, retain context association information, and answer based on the provided research report content" | Adapts to the professional terminology and context interaction requirements of ordnance equipment research reports |
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapts to the storage and upload requirements of single large research reports or collection documents |
chat_history_save_strategy | Stored bound to user ID | Ensures each user's historical conversation is independently visible, adapting to multi-scenario usage needs of industry practitioners |
similarity_threshold | 0.75–0.85 | Filters low-relevance non-professional research reports, retaining content highly matched to the query |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: The preset question is not sent after clicking the custom quick reply button. Cause: The corresponding question text is not bound in
quick_reply_config, and the global function switch for quick reply buttons is not enabled. - Symptom: A
400 Bad Requestor413 Request Entity Too Largeerror is returned when calling the conversation API, and research report files cannot be uploaded. Cause: The file upload permission for the conversation API is not enabled, andUPLOAD_FILE_MAX_SIZEis not adjusted to match the size of research report documents. - Symptom: Non-logged-in users cannot view or save historical conversations. Cause:
chat_history_save_strategyis not configured to bind storage by temporary session ID, resulting in automatic clearing of historical data after the session ends.
How to Verify Successful Configuration
- Initiate a query containing an equipment code, verify that the model accurately identifies the corresponding equipment's performance parameters and measurement units, confirming that the prompt configuration is effective.
- Initiate two or more consecutive queries, verify that the model retains the equipment model and associated information mentioned in the previous round, confirming that the context window configuration is appropriate.
- Upload a single large research report file, verify that the upload process proceeds smoothly, confirming that the file upload configuration matches the document size.
- Switch to a non-logged-in test account to initiate a conversation, close the page and re-enter, verify that the historical conversation is retained, confirming that the conversation history saving strategy is configured correctly.
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.