Multi-turn Dialogue and Prompting for Urban Commercial Bank Financial Report Analysis

Urban commercial bank financial report data mainly comes from official investor relations sections of official websites, and public disclosure

What this category of data looks like

Urban commercial bank financial report data mainly comes from official investor relations sections of official websites, and public disclosure platforms of banking regulatory authorities. Annual reports are published within 4 months after the end of each fiscal year. Quarterly reports are published within 1 month after the end of each quarter. Document structure is divided into two parts: core financial statements and special regulatory indicator descriptions. Core statements include tables related to assets, liabilities, profit and loss, and cash flow. Fields cover total assets, loan balance, non-performing loan related indicators, capital adequacy related indicators, and others. Most units are based on RMB ten thousand. Some indicators use relative ratio formats.

Constraints on Multi-turn Dialogue and Prompting

The multi-source update rhythm of urban commercial bank financial reports requires dialogue systems to support precise data filtering by reporting period. This avoids confusing report content from different cycles. The multi-document structure requires prompts to clearly specify reading core statements or regulatory attachments. This prevents cross-document extraction errors. The diversity of fields requires gradual guidance of users to clarify specific indicator names during multi-turn dialogue. This avoids result deviations caused by vague queries. Unit consistency requires the system to uniformly mark measurement benchmarks during dialogue. This prevents misunderstandings from mixed measurement units. Regulatory indicators in urban commercial bank financial reports have strong professionalism. Prompts need preset industry-specific term mappings to lower query thresholds for non-professional users.

Configuration Settings

Configuration ItemRecommended ValueRationale
maxContext8000–12000 charactersCore content of a single urban commercial bank financial report is approximately 5000-8000 characters. Multi-turn dialogue needs to retain 2-3 report context sets
RECALL_TOP_NTop 6–8 resultsUrban commercial bank financial reports cover multiple types of fields. This range needs to cover retrieval results related to core statements and regulatory indicators
PARSE_FILE_TIMEOUT_SECONDS300 secondsUrban commercial bank financial reports often include multiple attached tables. Full parsing takes a long time
PROMPT_TEMPLATEPreset urban commercial bank financial report term mapping, clarify reporting period and measurement benchmarkUrban commercial bank financial reports have industry-specific indicators. This unifies terms and query rules
MAX_HISTORY_TURNS3–5 turnsMulti-turn financial report analysis needs to gradually clarify user needs. Excessive turns increase context redundancy
UPLOAD_FILE_MAX_SIZE20 MBPDF files of urban commercial bank annual financial reports are mostly between 10-15 MB

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.

Three Common Misconfigurations

  • Phenomenon: The dialogue page crashes when using version 4.8.20. The knowledge base page crashes when using other versions. The interface returns a 500 status code or shows no loading content. Cause: The context window parameter threshold matching the corresponding version is not configured, or the file parsing configuration conflicts with the resource restriction logic built into the version.
  • Phenomenon: When selecting a locally deployed model, preset guiding prompts do not affect model output. The model does not generate specified format content as required. Cause: The prompt template is not correctly bound to the model's thinking tag recognition rules, or the replaced tag format is not compatible with the system.
  • Phenomenon: The built dialogue application cannot connect to integrated plugins. It cannot trigger plugin calls or receive structured data returned by plugins. Cause: The plugin trigger condition is not configured in the dialogue node, or the permission binding configuration between the plugin and the dialogue application is not completed.

How to Confirm Correct Configuration

  • Upload a single urban commercial bank annual financial report file. Verify that the text fragments parsed by the system cover core statements and regulatory indicator content.
  • Initiate two or more progressive queries. Confirm that the system correctly associates subsequent indicator query requests based on historical dialogue context.
  • Switch configuration parameters of different versions. Verify that the dialogue interface and knowledge base loading do not have abnormal errors or unresponsive states.
  • After configuring local model docking, initiate a query containing guiding prompts. Confirm that the model output meets preset format and rule requirements.

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.