What the Data for This Use Case Looks Like
Data for large state-owned bank financial reports primarily comes from official annual, semi-annual, and quarterly reports, as well as regulatory disclosure documents. Disclosure follows a fixed schedule: annual reports are released by April of the following year, semi-annual reports by August each year, and quarterly reports are published within 15 days after the quarter ends. Document structure includes core financial statements, note disclosures, business analysis, and risk management sections. Fields cover total assets, total liabilities, operating revenue, net profit, and more. Most metrics use hundreds of millions of yuan as the unit, while some regulatory indicators are marked as percentages.
Constraints Imposed on Multi-turn Dialogue and Prompting
The fixed disclosure schedule for large state-owned bank financial reports requires that multi-turn dialogue clearly distinguish data from different reporting periods, to avoid calling expired or misaligned disclosure documents. Single annual financial reports have considerable length. Multi-turn dialogue context windows must support long-text processing to prevent context overflow that causes information loss or truncated responses. Financial reports contain numerous technical terms and fixed statistical standards. Prompts must explicitly specify the disclosure subject and statistical period for indicators, to avoid generating analysis content that does not meet regulatory requirements. Data updates at different disclosure nodes trigger knowledge base synchronization. Multi-turn dialogue must support dynamic calls to the latest version of the knowledge base, to ensure analysis is based on newly released financial report data.
How to Set Configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 12000–15000 characters | Adapts to the core analysis content of a single large state-owned bank annual financial report, preventing long-text context overflow |
systemPrompt | Explicitly specify that the analysis standard is official financial reports disclosed by large state-owned banks, and limit the indicator statistical period and unit | Avoid analysis deviations caused by different disclosure standards, align with the professional expression rules of large state-owned bank financial reports |
recallTopK | Top 6–8 entries | Large state-owned bank financial reports have many fields. Too many recalled entries increase context burden, while too few will miss key indicators |
similarityThreshold | 0.75–0.85 | Balances semantic matching accuracy and recall coverage for financial report technical terms, preventing irrelevant fields from being incorrectly recalled |
fileParseChunkSize | 800–1000 characters | Adapts to the paragraph structure of large state-owned bank financial reports, avoiding splitting that disrupts the integrity of technical terms |
enableAutoSplit | Enabled | Automatically splits long financial report documents to adapt to the context processing capabilities of multi-turn dialogue |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: The AI automatically generates Markdown tables or headings in responses. Cause: Markdown syntax output is not explicitly disabled in the
systemPrompt, causing the model to use formatted output by default. - Symptom: Expired financial report data is called during multi-turn dialogue. Cause: Knowledge base automatic synchronization trigger rules are not configured, or only the latest disclosure period knowledge base version is not specified.
- Symptom: Dialogue context overflow causes truncated responses or error messages. Cause: The
maxContextparameter is not adjusted to the value range adapted to the length of large state-owned bank financial reports, exceeding the system context processing limit.
How to Verify Proper Configuration
- Upload a single large state-owned bank annual financial report document, initiate a multi-turn dialogue test, and confirm that the response content is coherent and not truncated.
- Enter a query containing technical financial report terms, and verify that the indicator standards in the response match the disclosure documents, with no format errors.
- Adjust recall-related parameters, and verify that the returned knowledge base content matches the query as expected.
- Trigger a knowledge base synchronization operation, and confirm that subsequent multi-turn dialogue can call the latest version of financial report data.
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.