What this category of data looks like
Semiconductor industry market and yield rate data is sourced from publicly disclosed listed company trading data from securities exchanges, sector operation data released by industry associations, and public industry research datasets. The update cycle is one natural day, with daily data aggregated and released after market close. Most documents are presented as structured tables, containing fields such as asset code, asset name, semiconductor segment classification, daily trading price, interval yield value, sector valuation benchmark, quarterly revenue data, and other fields. Trading price is measured in yuan, yield values in basis points or absolute values, and revenue data in 10,000 yuan.
What constraints do these characteristics impose on multi-turn dialogue and prompting?
Multi-turn dialogue must retain the context of the current query date and asset scope to avoid result deviations caused by cross-day data calls. The structured data format requires prompts to clearly specify field extraction rules to ensure output alignment with the source document structure. Multi-source data sources require the prompt to define statistical scope to prevent confusion between statistics from different institutions. Differences in units across fields require prompts to clearly specify unit marking rules to avoid errors in numerical comparisons. The large number of semiconductor segments also requires multi-turn dialogue context to cover a sufficiently broad segment scope to avoid missing relevant data for target assets.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Semiconductor data has many structured fields, and multi-turn dialogue needs to retain multi-period data context to avoid context loss due to window limits |
systemPrompt | Limit the scope of semiconductor industry assets, clarify that data sources are publicly disclosed trading and industry data, and require output in structured table format with corresponding units marked | Adapt to the multi-source and structured characteristics of semiconductor data, unify output rules |
chatId | Required and bound to the conversation session | Ensure traceability of multi-turn dialogue context, meeting background log troubleshooting requirements |
similarityThreshold | 0.75–0.85 | There are many semiconductor segments, so a higher threshold is needed to filter irrelevant data and ensure the relevance of recalled data |
recallTopK | Top 6–8 entries | Cover the conventional query needs of semiconductor segment assets, while avoiding excessive data causing context overload |
parseTimeout | 600 seconds | Semiconductor financial reports and industry data have large parsing volumes, requiring sufficient timeout to ensure complete data loading |
The parameter values provided on this page are conventional recommendations used as a starting point 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.
Three common mistakes
- Issue: In the open-source version V4.8.22, the AI configuration interface only displays basic parameter options, and custom prompt templates and reference rules cannot be configured. Cause: The custom prompt configuration module for this version is not enabled by default; the advanced configuration switch must be manually turned on.
- Issue: In multi-turn dialogue chains, results from previous tool calls are not carried over to subsequent dialogue modules, leading to context breaks. Cause: Context transfer parameters are not configured in the dialogue chain, or the cross-module context synchronization switch is not enabled.
- Issue: After passing the
chatIdparameter when calling the API, the background conversation log does not show valid binding records for this field. Cause: ThechatIdwas not passed as a session identification parameter during API calls as required, or the version does not support the log writing logic forchatId.
How to confirm proper configuration
- Enter the background conversation log module, check if the
chatIdof the current session matches the parameter passed during API calls, and confirm that the log has correctly bound the session identifier. - Initiate a multi-turn dialogue with two follow-up questions: input a semiconductor asset query and a subsequent segment follow-up question, and check if the output retains the date and asset scope context from the previous round.
- View the system prompt in the AI configuration interface, confirm that it includes semiconductor industry data sources, field rules, and unit marking requirements, with no missing constraint conditions.
- Test the tool call chain, confirm that the output results of previous tools can be properly read by subsequent dialogue modules, with no context loss issues.
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.