What data for this category looks like
The data sources for multi-financial intelligent due diligence reports cover industrial and commercial public information, industry association disclosure documents, regulatory agency filing materials, internal institutional risk control archives, and public industry research reports. Update frequencies differ: regulatory filing information updates in real time alongside regulatory actions, industry research reports launch quarterly, and internal risk control archives sync monthly. Document structures usually include five core modules: basic subject information, related party penetration list, business compliance records, financial summary, and risk reminders. Fields include unified social credit code, regulatory penalty document number, related party transaction amount, compliance rating level. Most amount fields use ten thousand yuan or hundred million yuan as units.
What constraints these characteristics impose on knowledge base retrieval and recall
Multi-financial due diligence data mixes public and internal permission-based content. Access permissions for different data sources must be differentiated to avoid sensitive information leaks. Differences in update frequencies require setting distinct incremental update cycles for each data type, preventing index lag or redundancy. Documents are lengthy with tight inter-module connections, so semantic context integrity must be maintained during segmented retrieval to avoid breaking cross-module logic. Many fields have specific units, so retrieval must match field precision to prevent recall result deviations caused by unit confusion.
How to Set Configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
Segment Length | 800–1200 characters | Multi-financial due diligence reports contain multi-module related content; segment length adapts to cross-field semantic integrity |
Segment Overlap Rate | 15–20% | Paragraphs related to related parties and financial data in due diligence reports have strong correlation; overlap rate ensures no break in context |
Number of Retrieved Results | Top 10–15 | Due diligence reports need to cover multi-dimensional information including compliance, finance, and related parties; sufficient results ensure retrieval breadth |
Similarity Threshold | 0.72–0.80 | Multi-financial due diligence data has high field precision requirements; threshold filters low-relevance redundant content |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single due diligence report documents are lengthy; timeout setting ensures complete parsing without interruption |
Incremental Update Cycle | Configured in tiers by data source type | Adapts to the differentiated update rhythms of real-time regulatory filings and quarterly industry reports |
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 individual analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Phenomenon: The number of knowledge base retrieval results is insufficient, failing to cover related party information required for due diligence. Cause: The number of retrieved results is set too low, not matching the retrieval needs of multi-dimensional content in multi-financial due diligence reports.
- Phenomenon: The same query returns different results, and the results deviate from private knowledge base content. Cause: No unified similarity threshold is set, or segment overlap rate configuration is unreasonable, leading to inconsistent matching of semantic segments.
- Phenomenon: Workflow calls to the knowledge base module return empty results. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not configured, and long document parsing times out, resulting in no valid index generation.
How to Verify Proper Configuration
- Upload a single complete multi-financial due diligence report, and check whether the corresponding ratio between the number of parsed segments and the number of document pages meets expectations.
- Enter a query containing specific fields, and verify whether the recall results include the precise content of the corresponding fields.
- Simulate a workflow call to the knowledge base module, and check whether the returned results include expected document segments.
- View incremental update logs to confirm that due diligence data from different sources completes synchronization 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.