What Data Looks Like for This Category
The data sources for computer equipment investment research include public hardware technical white papers, compliant industry test reports, official manufacturer parameter documents, and public quotation data from upstream and downstream supply chains. Update frequencies vary: core hardware specification documents are updated with manufacturer new product launches or version iterations; supply chain quotation data is updated daily; third-party test data is released per individual test cycle. Individual device documents are grouped by model as the core, containing fields such as model, core chip model, computing power parameters, interface specifications, power consumption, and compatible system versions. Units cover standard technical units including TOPS, W, mm, GB.
Constraints on Multi-turn Dialogue and Prompt Engineering
The multi-tiered device models, differentiated data source update rhythms, and standardized field units impose clear constraints on multi-turn dialogue and prompt design. First, device model segmentation is highly granular. Multi-turn dialogue must lock the user-specified model in the initial round to avoid cross-model parameter confusion. Second, data source update frequencies differ. Prompts must include version verification rules to ensure the latest version of parameter information is called. Third, fields include multiple technical parameter types and clear units. Prompts must specify standard unit extraction rules to prevent inconsistent output units. Fourth, individual device documents are lengthy. Multi-turn dialogue context recall must limit valid information scope to avoid redundant content disrupting dialogue logic.
How to Configure Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
maxContext | Last 10 conversation turns | Computer equipment has multiple parameter dimensions. Excessive conversation history will occupy the context window. Limiting to 10 turns preserves core model and parameter requirements |
recallTopK | Top 8 knowledge base entries | Single device has many parameter entries. Too many recalled entries will overload the prompt. 8 entries cover core specifications and common investment research questions |
promptVersion | 2024Q3 | Matches the current mainstream parameter data source version for computer equipment, ensuring timeliness of called information |
tokenLimitPerCall | 8000 characters | Adapts to the average length of single-device parameter documents, preventing core technical parameters from being truncated in prompts |
enableContextTracking | Enabled | Locks the user-specified device model to avoid cross-model parameter confusion during multi-turn dialogue |
parseChunkSize | 500 characters | Splits device parameter documents by model grouping when chunking, preserving the integrity of parameter associations |
The parameter values provided on this page are general recommendations for establishing configuration starting points. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- The conversation interface does not display input and output token counts. The
tokenCountDisplayconfiguration item is not enabled, so the system does not count and return token consumption data. - Cannot extract device parameters for the current year or current month during multi-turn dialogue. The prompt does not explicitly bind the current conversation's device model and time filtering rules, causing the model to confuse parameter information across different models or time intervals.
- Historical conversation content remains after setting
maxContext=0in the workflow. The global context inheritance switch is not disabled, so the system calls historical conversation data by default, conflicting with the context rules configured separately for the workflow.
How to Verify Proper Configuration
- Initiate a parameter query for a specified device model. Verify the output includes clear model identification and corresponding technical parameters.
- Check the conversation interface's statistics area. Confirm both input and output token counts are displayed.
- Adjust the context quantity configuration, then initiate a multi-turn dialogue. Verify historical information is called or ignored per the configured rules.
- Modify the time filtering rule in the prompt, then initiate a parameter query for the corresponding time period. Verify the output correctly matches the specified current year or current month parameter information.
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.