What the Data for This Category Looks Like
Data for comprehensive service intelligent due diligence reports comes from industrial and commercial public disclosure systems, credit reporting agencies, public corporate financial reports, regulatory disclosure documents, and internal due diligence working papers. Update rhythms are mixed: industrial and commercial information syncs quarterly, credit data updates daily, and financial reports and regulatory files release per their respective disclosure cycles. Document structure includes two parts: structured fields and unstructured text. Structured fields include standardized content such as unified social credit code, registered address, legal representative, and latest audit report number. The unstructured section includes long texts such as due diligence interview records, fragments of compliance self-inspection reports, and risk warning descriptions. Field units follow general industry standards: monetary fields use ten thousand yuan as the base unit, and rating fields use letter grading identifiers.
What Constraints These Characteristics Impose on the Model Integration and Configuration Link
Multi-source heterogeneous data sources require configuring multi-format parsing rules during integration to adapt to document structures of different data sources. Single report document length varies widely. Adjust context window and segmentation parameters to avoid core content being truncated. A high proportion of structured fields requires enabling entity extraction configuration items to ensure accurate extraction of key fields. Mixed update rhythms require balancing recall priority between real-time data and historical data to avoid outdated or redundant recalled content. Additionally, due diligence reports have high accuracy requirements. Limit the randomness of model-generated content to avoid conclusions inconsistent with facts.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–16000 characters | The length of single comprehensive service due diligence report documents varies widely. This range covers the core content of complete reports to avoid truncation |
Segment Length | 1000–1500 characters | Due diligence reports contain structured fields and long text fragments. Segmentation ensures coherent context when the model processes each segment |
Recall Count | Top 6–8 entries | Due diligence reports need to balance coverage of multi-source data and concise results, avoiding excessive redundant information interfering with judgment |
Similarity Threshold | 0.75–0.85 | Need to distinguish compliance data from risk warning content, ensuring the match between recalled content and due diligence requirements |
temperature | 0.1–0.3 | Due diligence reports require strict accuracy, reducing the randomness of model-generated content |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing long due diligence report documents takes significant time. This avoids early timeout leading to parsing failure |
The parameter values provided on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Symptom: The model test succeeds in the interface, but a
400 Bad Requesterror is returned when calling due diligence report generation. Cause: The model'smaxContextparameter is not configured to adapt to the document length of due diligence reports, causing input text to exceed the model's supported range. - Symptom: Due diligence report generation speed is slow, and processing time for a single report exceeds 5 minutes. Cause: The
Recall Countparameter is not adjusted, resulting in recall of excessive historical compliance data, or batch recall optimization of the vector database is not enabled. - Symptom: After selecting a lightweight model, the model option does not appear in the workflow. Cause: The workflow call permission for this model is not enabled on the model integration page, or the model's context window does not match the workflow's input requirements.
How to Confirm the Configuration Is Complete
- Upload a single standard due diligence report, check the parsed text segments to confirm the segment length falls within the configured value range.
- Initiate a simulated call, check the number of returned recalled data entries to confirm it matches the configured
Recall Count. - View the model call logs to confirm the input text does not trigger a
maxContexttruncation prompt, and there are no timeout errors. - Adjust the
temperatureparameter to generate two test reports, compare the rigor of the content to confirm the parameter value meets the accuracy requirements of due diligence reports.
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.