What the data for this category looks like
Indicator caliber data comes from internal business ledgers of financial institutions, regulatory reporting standards, and periodic financial disclosure documents. Update cycles are triggered by adjustments to regulatory policies or changes to internal business rules, with no fixed schedule. Each individual document contains fields including a unique caliber identifier, name, official definition, calculation logic, statistical cycle, applicable subject, and unit of measurement. Units of measurement mostly follow fixed formats, such as ten thousand yuan, person-times, natural days, and similar.
What constraints these characteristics impose during the model access and configuration phase
The multi-source, heterogeneous data sources for indicator calibers require configuring multi-data-source synchronization links to ensure synchronized updates of regulatory rules and internal business data. The non-fixed update schedule requires configuring an incremental synchronization trigger mechanism to avoid redundant pulls. Documents contain complex calculation logic and multi-dimensional fixed fields. This demands configuring a dedicated field extraction prompt when accessing the model, with clear requirements to output matching units of measurement and statistical cycles. Additionally, the unique caliber identifier requires configuring precisely matching retrieval rules to avoid confusing different calibers with similar names.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
promptTemplate | "Please extract the caliber name, official definition, calculation logic, statistical cycle, and unit of measurement matching the user's question from the provided indicator caliber document. Output only the content of the matched fields" | Indicator caliber documents contain multi-dimensional fixed fields. Clearly specifying the extraction scope prevents the model from generating irrelevant content |
topK | Top 8-12 | Indicator caliber names may have similarities. A sufficient number of candidate documents must be retrieved before reranking and filtering to avoid missing precisely matched items |
similarityThreshold | 0.75-0.85 | Precise matching for indicator calibers requires a high threshold to filter low-relevance documents with similar names and prevent confusion between different calibers |
rerankTopN | Top 3-5 | Further screening of the most matching calibers from the retrieved candidate documents is needed to ensure the accuracy of returned results and adapt to complex field extraction requirements |
enableRerank | Enabled | Field extraction for indicator calibers has high matching precision requirements. Enabling reranking improves the accuracy of candidate document screening |
syncMode | Event-triggered synchronization | Indicator caliber updates have no fixed schedule. A synchronization mechanism configured for manual triggering or event-driven operation adapts to the non-fixed update rhythm |
The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Irrelevant numbers such as 0 frequently appear in tool call return results. This occurs because the custom prompt does not explicitly limit extraction to only indicator caliber-related fields. The model mistakenly identifies version numbers or statistical codes within the document as return content.
- A large number of similar but non-matching indicator calibers are returned in retrieval results. This happens because the similarity threshold is set too low, failing to filter low-relevance candidate documents.
- The statistical cycle output by the model does not match the requirements in the document. This occurs because the prompt does not explicitly specify that the statistical cycle field from the document must be matched, causing the model to generate a custom cycle.
How to confirm proper configuration
- Upload a single complete indicator caliber document, run a retrieval test, and verify that the returned results only contain matched field content with no extra irrelevant information.
- Adjust the similarity threshold, compare retrieval results across different thresholds, and confirm that the current threshold can filter low-relevance similar caliber documents.
- Trigger a single knowledge base synchronization, check the synchronization log to confirm that only changed indicator caliber documents are updated, with no redundant pull operations.
- Call the in-application retrieval interface, input similar indicator caliber names with different labels, and verify that the returned results are the accurate content of the target caliber.
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.