What This Type of Data Looks Like
Urban commercial bank investment research data comes from multiple sources: internal credit ledgers, regional economic research archives, local banking and insurance regulatory announcements, central bank monetary policy implementation reports, and public interbank lending market data. Data update frequency varies by type. Regulatory documents are updated in real time when released. Regional economic research data is updated quarterly. Internal credit data is synchronized daily. Documents contain structured fields and unstructured content. Structured fields include regulatory document numbers, issuing entities, applicable administrative divisions, and data cycles. Common units are quarters, months, and ten thousand yuan. Unstructured content mostly includes research summaries and peer analysis reports, primarily in paragraph-style text.
Constraints on Citation Source and Traceability Workflows
Urban commercial bank investment research data has multi-source and varied update frequencies. The traceability workflow must distinguish timestamp verification logic for different data sources. This prevents citation of expired regulatory or economic data. Structured fields are present in the data. Traceability identifiers must cover precise fields such as regulatory document numbers and applicable administrative divisions. This ensures citations point to specific, clear documents or data entries. Data has regional attributes. Traceability results must include applicable scope markings. This prevents citation failures in cross-regional scenarios. Internal and public data have different permission requirements. The traceability workflow must distinguish data source access scopes. This prevents unauthorized content from being included in citations.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
cite_enable | Enabled | Enabling this generates citation traceability information in search results, which meets compliance traceability requirements for urban commercial bank investment research |
cite_return_cite_id | Enabled | Returns a unique citation ID for the conversation interface, which addresses business needs for interfaces without a cite field |
recall_top_k | Top 5-7 entries | Urban commercial bank investment research data mixes structured and unstructured content. Recalling 5-7 entries covers core relevant data and avoids redundant citations |
similarity_threshold | 0.75-0.85 | Filters low-correlation unstructured research summaries and structured data, ensuring matching between cited content and user queries |
filter_expired_days | 90-180 days | Regional economic research data is updated quarterly. Expired data within 90-180 days must be filtered, to avoid citing outdated economic analysis content |
cite_show_source_field | Regulatory document number, applicable administrative division, release date | Matches core structured fields of urban commercial bank investment research data, making citation traceability information more precise and compliant |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Each scenario requires targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Issue: Conversation API requests do not return the
citefield. Cause: Thecite_return_cite_idconfiguration is not enabled, so the interface does not generate citation ID-related fields. - Issue: When retrieving content outside the knowledge base for a query, knowledge base file citations are still returned. Cause: No reasonable
similarity_thresholdis set, leading to low-correlation or unrelated retrieved content being included in citations. - Issue: Applicable administrative division fields are not displayed in citation traceability information. Cause: This field is not added to the
cite_show_source_fieldconfiguration, failing to match the regional characteristics of urban commercial bank investment research data.
How to Verify Proper Configuration
- Initiate a test conversation. Check if the returned results include citation identifiers, to confirm the
cite_enableconfiguration is active. - Review the JSON structure returned by the conversation interface. Confirm that cite-related fields are present, to verify the
cite_return_cite_idconfiguration is correct. - View the citation details panel. Confirm that the configured traceability fields are displayed correctly, to verify the
cite_show_source_fieldconfiguration matches business requirements. - Submit a test query related to expired data. Confirm that the system automatically filters content beyond the preset expired day range, to verify the expired data filtering configuration is active.
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.