What This Type of Data Looks Like
Data for urban commercial bank research reports mainly comes from internal documents produced by internal risk management, inclusive finance, and regional economic research departments, submission materials connected to local financial regulatory authorities, and targeted research results from cooperating local economic research institutes. Update frequencies fall into two categories: regular and emergency. Regular research reports are updated on a monthly and quarterly cycle. Emergency research reports are released immediately upon changes to local regulatory policies or sudden regional economic fluctuations. Document structure is fixed into four modules: policy interpretation, regional credit analysis, peer benchmarking, and risk warning. Fields include report number, issuing authority, release date, covered administrative region, and core business indicators. Standard units include RMB 100 million, number of business accounts, quarterly cycle, and other standardized measurement methods.
What Constraints These Characteristics Impose on the "Knowledge Base Retrieval and Recall" Link
The multi-source nature of urban commercial bank research reports requires retrieval systems to support unified access across internal documents and external submission materials, and avoid data silos. Region-focused document characteristics require adding administrative region filtering rules during retrieval, prioritize recalling reports matching business coverage areas, and reduce interference from cross-region irrelevant content. Differences in update rhythms require systems to support both scheduled incremental synchronization and manual immediate updates, adapting to the fixed update cycles of regular research reports and the sudden update needs of emergency research reports. Professional and focused document content also requires retrieval segmentation and semantic matching configurations to adapt to subfield text features, avoiding semantic cutting that disrupts professional logic.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
retrieve_top_k | 15-20 entries | Urban commercial bank research reports focus on specific regions. Initial recall covers enough locally relevant content and avoids excessive redundant results |
similarity_threshold | 0.72-0.78 | Research report content has high professionality. Threshold must adapt to semantic matching accuracy for professional texts, filter low-relevance general industry content |
sync_interval | 86400 seconds | Regular research reports are synced incrementally daily, adapting to monthly and quarterly update rhythms, while supporting manual trigger for immediate sync |
filter_metadata | Enabled, restrict region field to local administrative regions | Core business of urban commercial banks focuses on local operations. Metadata filtering quickly eliminates cross-region irrelevant research reports |
chunk_size | 800-1000 characters | Content of urban commercial bank research reports focuses on specific fields. Segmentation length adapts to semantic coherence of professional texts |
rerank_top_k | 5-8 entries | Final returned results are controlled at a reasonable quantity, adapting to the needs of business personnel for quick review |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Retrieval results returned by the interface include research report fragments not uploaded to the current knowledge base, with citation source identifiers. Cause: Local administrative region filtering rules for
filter_metadataare not configured, and cross-region external research reports are not effectively isolated. - Phenomenon: The number of citations returned by retrieval exceeds the preset upper limit, and the relevance of some results does not meet expectations. Cause: Binding verification between
similarity_thresholdandretrieve_top_kis not performed, resulting in low-relevance content being included in the recall pool. - Phenomenon: After modifying research report fields in the knowledge base, exported files still retain old version content. Cause: The refresh operation of the knowledge base is not triggered, and the system still calls cached old version documents.
How to Confirm Configuration Is Correct
- Upload a test research report marked with a local administrative region, retrieve keywords corresponding to the region, and verify that returned results only include relevant documents within the current knowledge base.
- Adjust semantic matching related parameters, retrieve professional term keywords, and verify whether the relevance of returned results meets business expectations.
- Trigger an incremental sync operation, modify a single document in the knowledge base and export it, confirm that the exported file contains the latest modified content.
- View the knowledge base sync logs, confirm that the incremental sync task executes normally according to the preset cycle.
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.