What the data for this category looks like
Data sources for rural commercial bank financing daily reports include the bank’s core credit system, public quotes from the National Interbank Funding Center, and regulatory submission ledgers from local banking and insurance regulatory bureaus. Reports are generated every early morning, containing complete data for the previous workday. Documents use structured tables with fixed headers. The seven core fields are: full name of financing entity, single financing amount (unit: ten thousand yuan), financing term (unit: days), effective annual interest rate, loan date, name of credit granting institution, and fund usage. The number of entries per daily report fluctuates with the bank’s daily business scale, with no fixed upper limit.
Constraints imposed by these characteristics on citation sources and traceability
Multiple scattered data sources require separate recall rules and permission checks for each source, to avoid cross-channel data confusion. The fixed daily update schedule requires that traceability time filter parameters be precisely bound to the previous workday, to prevent recall of redundant historical data. Structured documents with fixed headers require strict matching of field names during recall configuration. Misalignment of field values will occur if this is not done, leading to mismatches between traceability information and actual business items. The requirement for full financing entity names requires targeted fuzzy matching logic, balancing recall coverage of abbreviation variants and matching accuracy.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall_limit | Top 10 entries | The number of entries per rural commercial bank financing daily report is moderate. An excessively large value will lead to redundant traceability information, while an excessively small value will miss key financing records |
similarity_threshold | 0.75–0.85 | Core fields such as financing entity names and amounts require precise matching. A threshold that is too low will introduce irrelevant recall results, while a threshold that is too high will miss correct matches |
time_range | Previous calendar day | Financing daily reports update daily with data from the previous workday. Binding the time range to the report generation cycle of the early morning of the current day prevents recall of historical data |
field_mapping | Precise matching by field name | Daily reports have a fixed header structure. Precise matching avoids field value misalignment, ensuring traceability information accurately corresponds to financing business items |
source_tag_config | Tag separately by data source | Data comes from multiple channels including core systems and the interbank funding center. Tagging allows clear display of data source paths during traceability |
fuzzy_match_level | Enabled only for entity names | Full financing entity names may have abbreviation variants. Other fields require strict matching, balancing recall accuracy and coverage |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing.
Three Common Configuration Errors
- Symptom: A
400 Bad Requesterror appears when viewing knowledge base citations in chat responses. Reason: Thetime_rangeparameter is not configured correctly. Attempting to recall historical data beyond the current daily report generation cycle triggers a data source permission check failure. - Symptom: Redundant business records not from the current financing daily report are displayed in responses. Reason: The
recall_limitvalue is too large, or time_range filtering is not enabled, recalling entries from multiple historical daily reports, leading to disorganized traceability information. - Symptom: No knowledge base citation content is displayed in responses. Reason: The
similarity_thresholdis set too high, failing to match valid fields in the daily report, or thefield_mappingconfiguration is incorrect, leading to failure to correctly recall fields.
How to Verify Successful Configuration
- Upload a standard format rural commercial bank financing daily report test file, initiate a query containing a specific financing entity name, and verify that returned results only include relevant entries within the test document.
- Open the traceability panel of the response, confirm that each citation has a clear data source tag, and that field values completely match corresponding items in the test document.
- Modify the
similarity_thresholdparameter, initiate a repeated query, observe changes in the number of recall results, and confirm that the adjusted matching logic meets expectations. - Check system logs, confirm that there are no records of data source call failures or permission check exceptions, verifying configuration stability.
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.