What the data for this category looks like
Data sources include publicly disclosed documents from national defense and military industry authorities, temporary or regular announcements of listed entities, and authoritative industry information platforms. Updates occur daily, covering financing-related information disclosed on the same day in the ordnance equipment sector. Each document contains multiple financing records. Each record includes fields such as project identifier, participating entities, financing amount, financing method, industry track segment, disclosure date, and more. Financing amount is measured in ten thousand yuan. Date fields use standard Gregorian calendar format. Some records include associated information of the group to which the project belongs.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Diverse sources lead to differences in field formats across different sources. Multi-turn dialogue must first complete unified verification of field formats to avoid messy formatting in responses. The daily update rhythm requires that conversation context does not cache historical data older than 24 hours, to avoid referencing outdated information. The existence of the industry track segment field requires that prompt engineering clearly limits processing only to financing projects under the ordnance equipment category, excluding content from other national defense and military industry subcategories. Single records have high information density. The context window for multi-turn dialogue must adapt to long text processing to avoid truncating key fields and disclosure dates.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 9000–11000 characters | Adapts to the information density of single records in ordnance equipment financing daily reports, avoiding truncation of key fields and disclosure dates |
historyMaxCount | First 8 rounds of dialogue | Focuses on interactions related to current financing daily reports, filters redundant historical content, and prevents context overload |
Recall count | First 6 entries | Matches the number of core fields in ordnance equipment financing daily reports, ensuring coverage of key information without redundancy |
Similarity threshold | 0.78–0.82 | Accurately filters non-ordnance equipment financing data, avoiding mixing in content from other national defense and military industry subcategories |
PARSE_FILE_TIMEOUT_SECONDS | 240 seconds | Adapts to the parsing duration of batch financing daily report documents, avoiding parsing failures due to large document volume |
Chunk size | 1200–1500 characters | Adapts to the field length of financing daily report documents, ensuring that complete single financing record information is retained after segmentation |
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. It is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Phenomenon: Automatic attachment of file citation lists in dialogue response results, with no direct close option in the interface. Cause: The
enableCitationconfiguration item was not set tofalse. This configuration item enables citation display by default. - Phenomenon: Subsequent queries cannot correctly associate historical financing data after multi-turn dialogue interactions exceed the set number of rounds. Cause: The
historyMaxCountconfiguration value does not cover the historical context length required for multi-turn analysis of ordnance equipment financing daily reports. - Phenomenon: The question classification module assigns ordnance equipment financing daily report queries to the wrong process branch, resulting in irrelevant content being returned. Cause: The system prompt does not clearly define exclusive fields and classification rules for the ordnance equipment category, so the model cannot accurately identify category boundaries.
How to Verify Correct Configuration
- Initiate a financing daily report query that includes ordnance equipment industry track segments, check whether the returned results only include content from the specified category, and adjust the similarity threshold until expectations are met.
- Initiate consecutive multi-round interactions, check whether historical messages are retained according to the set
historyMaxCount, with no unnecessary truncation. - Upload batch financing daily report documents, check whether parsing is completed within the time set by
PARSE_FILE_TIMEOUT_SECONDS, with no timeout errors. - Turn off the citation function and initiate a query, check whether no attached file citation lists appear in the returned results.
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.