What the Data for This Category Looks Like
Data for urban commercial bank research reports is primarily sourced from documents produced by the research departments of urban commercial bank headquarters, publicly disclosed documents from regional regulatory authorities, and internally organized local economic survey materials. Update frequency varies based on regulatory requirements and business milestones, with no fixed cycle. Document structures include four modules: business line analysis, regional economic data, peer benchmarking, and regulatory policy interpretation. Fields include issuing institution, release date, covered region, and business indicators such as non-performing loan ratio and deposit growth rate. Most individual documents range from thousands to tens of thousands of characters in length.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
Dispersed data sources result in mixed recall content between internal and public research reports. Define call priority clearly in prompts. There is no fixed update cycle. Guide users to supplement the latest policy or business milestone information during multi-turn dialogue. Documents contain segmented business fields and regional qualifiers. Irrelevant recalls across regions and business lines are common. Use parameters to filter related content. Individual documents are relatively long. Configure the multi-turn dialogue context window to accommodate long texts, avoiding truncation of critical information.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Adapts to the relatively long length of individual urban commercial bank research reports, retains sufficient multi-turn dialogue context, and avoids truncation of critical information |
Recall Count | Top 6–8 results | Balances content coverage in specialized research report fields and context interference, preventing excessive irrelevant documents from being included in the dialogue context |
Similarity Threshold | 0.72–0.78 | Filters low-relevance public research reports, retaining recall content that strongly matches the local business of urban commercial banks |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Adapts to long document parsing requirements, preventing data processing failures caused by timeouts |
Chunk Length | 1500–2000 characters | Matches the business paragraph structure of urban commercial bank research reports, avoiding splitting that destroys business logic associations |
Reranked Return Count | Top 3–4 results | Retains content most relevant to the current dialogue turn after secondary sorting of recall results, improving response accuracy |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: In a local deployment environment, after uploading urban commercial bank research report files, the data processing page displays empty content or returns a processing failure error. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted to above 120 seconds. Long document parsing times out, interrupting the processing flow. - Phenomenon: During multi-turn dialogue, when asking about a specific regional micro-business, the response mixes irrelevant national industry research report content. Cause: The recall count is set above 8, and reranking filtering is not enabled. This causes low-relevance documents to be included in the dialogue context.
- Phenomenon: The application's internal knowledge base recall and prompt execution records cannot be viewed in the conversation interface's detail panel. Cause: The
Conversation Log Storageconfiguration item is not enabled, so detailed execution data is not retained.
How to Verify Successful Configuration
- Upload one urban commercial bank internal research report, run data processing. Confirm that there are no errors after the processing progress completes, and corresponding document fragments have been generated.
- Initiate a query that includes a specific region and business line. Verify that the response content matches the core information of the uploaded research report.
- View the conversation detail panel. Confirm that the recalled document fragments, prompt template, and intermediate execution steps are displayed.
- Initiate three consecutive related queries. Verify that the context is correctly retained, and the response does not contain contradictory content.
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.