What Data Does This Category Include
Baijiu investment research data primarily comes from public financial reports of listed companies, industry association reports, production area geographical indication documents, terminal retail monitoring data and professional tasting reports. Listed company financial reports are updated quarterly and annually, industry association reports are released quarterly, terminal retail data is updated monthly, and tasting reports are produced irregularly. Documents include structured tables (fields such as base liquor production capacity, cost per ton of liquor, recommended terminal price, etc.), unstructured industry analysis text, and standardized physical and chemical indicator fields, with units including %vol, kiloliter, yuan per bottle, and others.
What Constraints Do These Characteristics Impose on Multi-turn Dialogue and Prompting
The multi-source update rhythm of baijiu investment research data requires multi-turn dialogue to clearly mark the data time range, avoiding confusion between production capacity and revenue data from different cycles. The coexistence of structured and unstructured data requires prompts to guide users to distinguish between structured indicator queries and unstructured analysis requests, while retaining the context of data source types during multi-turn dialogue. Differences in fields and units across different documents require prompts to forcibly specify the standard naming and corresponding units of fields, preventing unit confusion issues. Multi-turn dialogue often involves comparisons across sub-segments, requiring the context to only focus on baijiu-related data, avoiding the introduction of analysis content from unrelated categories.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 12000–15000 characters | Baijiu investment research dialogues often involve multiple financial reports and production area analysis documents. This range can retain the context of nearly 3 complete research reports, avoiding dilution of key information |
recallTopK | Top 6–8 results | Baijiu data includes structured indicators and unstructured analysis. Too many retrievals will introduce irrelevant content, while too few will fail to cover the details of sub-segments |
promptTemplate | {context}\nPlease answer questions based on the above baijiu industry data combined with the user's historical dialogue context. Clearly indicate the source type and time range of the cited data. | Baijiu investment research requires clear data timeliness and source, avoiding confusion between production capacity and revenue data from different cycles, while distinguishing between structured and unstructured queries |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | A single annual financial report of a listed baijiu company may contain dozens of pages of structured tables, with long parsing time. This duration can cover the complete parsing process |
historySummaryThreshold | 8 dialogue turns | Baijiu investment research multi-turn dialogues often involve multiple rounds of indicator comparisons. After more than 8 turns, context must be automatically summarized to avoid context overflow |
The parameter values provided on this page are common starting points for configuration. The 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
- Phenomenon: Initiating a dialogue directly in the knowledge base editing page fails to retain cross-application context. Cause: The dialogue page and knowledge base editing page are not separated. Debugging data will pollute the context of business dialogues, which does not meet the requirement of distinguishing between debugging and business scenarios for baijiu investment research.
- Phenomenon: Calling the historical record cleanup interface clears the dialogue records of all applications. Cause: The
appIdparameter is not specified. The default behavior is to clean up the historical records of all applications, without cleaning the specified dialogue of the target investment research application. - Phenomenon: The dialogue response result does not indicate the data source and time range, making it impossible to associate correct baijiu industry data in subsequent dialogues. Cause: The prompt does not forcibly require marking the data source type and time, leading to context confusion between financial reports and research reports of different cycles.
How to Verify Proper Configuration
- Initiate two consecutive questions: first ask about the revenue of a certain baijiu enterprise in 2023, then ask about the production capacity of that enterprise in 2024, check if the dialogue can associate the enterprise and time information from both rounds.
- Initiate a question that includes both structured indicators and unstructured analysis, check if the response result clearly indicates the data source type and time range.
- Call the historical record cleanup interface, verify that only the dialogue records of the target investment research application are cleared, and the dialogue records of other applications are not cleared.
- Test a long dialogue that exceeds the set
maxContextthreshold, check if the system automatically triggers context summarization or truncation operations.
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.