What the data for this category looks like
General equipment investment research data primarily comes from official manufacturer technical manuals, industry standardized operation and maintenance documents, equipment operation and maintenance logs, bidding technical parameter public notices, and patented technical literature. There are two update schedule categories: static parameter data (such as model specifications) is updated according to the manufacturer’s release schedule, while dynamic operation and maintenance data is synchronized based on the equipment operation cycle. Document structures include three types: structured parameter tables, long-text technical descriptions, and fault troubleshooting processes. Core fields include rated power (unit: kW), operating speed (unit: r/min), maintenance cycle (unit: hours), and equipment weight (unit: kg). Some documents include technical descriptions in multiple languages.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
General equipment has a large number of structured parameters, frequent dynamic data updates, long-text technical descriptions in documents, and fields with clear units. These characteristics create three constraints for the multi-turn dialogue and prompt engineering link. First, retain context identifiers such as equipment model and parameter type during multi-turn dialogue to ensure cross-turn questions can be linked to historical parameters of the corresponding equipment. Second, the prompt must clearly distinguish trigger logic between static parameter queries and dynamic operation and maintenance data queries to avoid calling outdated dynamic data. Third, limit the length and field range of context recall to prevent long-text technical descriptions from occupying excessive context quota, and strictly require returned results to include standard units to avoid parameter unit confusion.
How to set configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | General equipment documents contain long-text technical descriptions. This range retains sufficient context to associate multi-turn parameter queries while avoiding exceeding the model’s context limit |
recallTopK | Top 3–5 entries | Most general equipment parameters are structured items. Excessive recall will lead to context redundancy and reduce the accuracy of parameter association in multi-turn dialogue |
similarityThreshold | 0.75–0.85 | Precise matching of equipment models and parameter fields is required to avoid recalling technical documents of unrelated devices and disrupting multi-turn dialogue logic |
systemPrompt | Fixed template: Clearly require returned results to include standard units, and retain the equipment model and parameter type mentioned in the previous round for cross-turn questions | General equipment fields have clear units. Enforcing unit return prevents misuse of investment research data. Retaining context identifiers supports multi-turn parameter association queries |
historyWindow | Last 2–3 dialogue turns | General equipment investment research multi-turn dialogue usually revolves around multi-dimensional parameters of a single device. Excessive historical dialogue will occupy context quota |
autoSaveHistory | Enabled, only save user and AI interaction content | Retain multi-turn dialogue context for subsequent parameter comparison or process tracing, while avoiding saving irrelevant debugging content |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: After calling the dialogue history deletion interface, the specified application’s historical records are not fully cleared. Cause: The unique application identifier
appIdwas not passed in the interface parameters, so the system cannot locate the target application’s dialogue data. - Phenomenon: In multi-turn dialogue, the next round of questions cannot automatically reuse the equipment parameters returned by the AI in the previous round as input. Cause: The
historyWindowparameter was not configured to retain recent dialogue context, or the system prompt did not explicitly require passing the conclusion field from the previous round. - Phenomenon: The
finishReasonfield returned by the dialogue component is empty, making it impossible for subsequent process components to reference the field value. Cause: The dialogue history field persistence configuration was not enabled, or the system prompt did not require the AI to return a standardized completion status description.
How to Verify Correct Configuration
- Initiate two linked questions: first query the core parameters of a specified model of general equipment, then query the associated operation and maintenance requirements based on that model. Confirm that the AI can correctly associate the device information mentioned in the previous round.
- View the dialogue context preview panel to confirm that the recalled document fragments match the parameter type of the current question, with no redundant long-text content occupying the context quota.
- Trigger the dialogue history deletion operation, pass the unique application identifier, and confirm that only the target application’s dialogue records are cleared, while the history of other applications is not affected.
- Initiate a parameter query to confirm that the returned results include the standard units of the corresponding fields, with no missing or mixed units.
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.