What the data for this category looks like
Data sources for joint-stock bank financing daily reports primarily include in-house credit management systems, public data from the National Interbank Funding Center, and public information from the central bank’s monetary policy implementation reports. Update frequency is daily, covering all financing transaction data from the previous working day. The document structure centers on structured tables, paired with brief market analysis notes. It includes fields such as financing subject, financing amount (unit: 100 million yuan), financing term, annualized interest rate (unit: %), disclosure date, and fund usage. The length of individual daily report files varies widely, with no complex nested formatting. It is recommended to conduct statistics or testing using samples prior to finalizing settings.
Constraints on Knowledge Base Retrieval and Recall from Data Characteristics
A high proportion of structured fields requires the retrieval system to support field-level precise matching, to avoid irrelevant results caused by fuzzy matching. The daily incremental update rhythm requires the knowledge base to have scheduled synchronization tasks configured, to ensure recall results cover the latest daily financing data. Fields have clear units, requiring recall results to fully retain unit information to avoid business ambiguity caused by missing units. Entries in individual documents are concentrated, so the number of retrieved and recalled results must be controlled within a reasonable range to avoid redundant information interfering with business judgment.
How to Configure Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Joint-stock bank financing daily reports include structured fields and explanatory text. This length can fully retain the context of a single financing entry, avoiding semantic fragmentation |
enableFieldRetrieval | Enabled | Financing daily reports include structured fields such as financing subject, amount, and interest rate. Enabling this feature allows precise field matching and recall, improving retrieval accuracy |
incrementalSyncInterval | 24 hours | Financing daily reports are updated daily. This interval enables daily incremental synchronization of the latest data, ensuring the timeliness of knowledge base content |
similarityThreshold | 0.75–0.85 | Semantic matching accuracy for structured data is relatively high. This range can filter low-relevance recall results, preventing irrelevant content from being included |
recallTopK | Top 8 entries | Valid financing entries in a single financing daily report typically range from 5 to 7. This value can cover all valid information while avoiding redundancy |
rerankTopK | Top 3 entries | Internal bank retrieval needs to focus on core financing information. Reranking retains the most relevant results, simplifying business review workflows |
The parameter values provided on this page are common starting points 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 using samples prior to finalizing settings.
Three Common Mistakes
- Scenario: When a query related to financing daily reports not covered by the knowledge base is initiated, the system still returns reference links to knowledge base files. Cause: The reference fallback logic for empty results is not disabled, or the similarity threshold is set too low, resulting in recall of low-matching irrelevant content.
- Scenario: Uploaded financing daily report images or images embedded in PDFs cannot be parsed, and the parsing task status shows failure. Cause: No model supporting image parsing is bound, or the uploaded image format is not covered by the currently configured parsing model.
- Scenario: When exporting the knowledge base from an old server to Excel and importing it to a new server, unit information for some structured fields is lost. Cause: The option to retain field metadata was not checked during export, or the format definition of the corresponding fields was not matched during import.
How to Confirm Configurations Are Correct
- Initiate a query related to financing daily reports not covered by the knowledge base, check whether returned results meet business expectations, and adjust the similarity threshold and number of recalled entries as needed.
- Upload a single financing daily report file, check that the parsing task status is successful, structured fields are correctly extracted, and field units are fully retained.
- After configuring the incremental synchronization task, wait for the preset interval, check whether the latest daily financing report data has been added to the knowledge base, and confirm that the synchronization logic is effective.
- Initiate a query that includes a specific field, such as a question specifying a financing subject, check whether recall results only include entries matching that field, and confirm that structured retrieval is effective.
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.