Multi-turn Dialogue and Prompt Engineering for Comprehensive Service Intelligent Due Diligence Reports

Data sources for comprehensive service intelligent due diligence reports include public financial reports, regulatory agency announcements, enterprise

What the Data for This Category Looks Like

Data sources for comprehensive service intelligent due diligence reports include public financial reports, regulatory agency announcements, enterprise industrial and commercial registration information, third-party credit reports, and others. Update rhythms vary by data source type: regulatory announcements are updated in real time, annual financial reports are updated quarterly or annually, and credit reports are updated monthly.

Document structures typically consist of five sections: main overview, risk identification list, compliance clauses, data supporting materials, and final due diligence conclusion. Fields include unified social credit code, risk level, related party transaction amount, rectification time limit, and others. Amount fields use ten thousand yuan as the unit, and time limit fields use the YYYY-MM-DD format.

Constraints on Multi-turn Dialogue and Prompt Engineering

Multi-source and heterogeneous data sources require step-by-step confirmation of data timeliness and credibility during multi-turn dialogue, to avoid introducing expired or irrelevant information. Different update frequencies require prompts to explicitly specify data time ranges, ensuring due diligence conclusions are based on the latest public information. The lengthy document structure and scattered associated data require segmented recall and information integration during multi-turn dialogue, to avoid context overflow. Differentiated units and formats of fields require prompts to uniformly convert to standard formats, ensuring consistency of output content.

Configuration Settings

Configuration ItemRecommended ValueRationale
maxContext8000–12000 charactersSingle comprehensive service due diligence report documents often exceed 5000 characters, requiring retention of multi-turn context to avoid information breaks
RECALL_TOP_KTop 8–12 entriesDue diligence report associated data is scattered, requiring recall of sufficient entries to cover risk items and supporting materials
SIMILARITY_THRESHOLD0.75–0.85Low-association public information must be filtered out, retaining content directly related to the due diligence subject
UPLOAD_FILE_MAX_SIZE500 MBDue diligence report attachments often include multiple financial reports and regulatory documents, adapting to conventional attachment sizes
PARSE_FILE_TIMEOUT_SECONDS300 secondsParsing large due diligence reports takes significant time, avoiding timeout interruptions
RESPONSE_FORMATSpecified JSON structureStructured output of due diligence conclusions to facilitate subsequent system calls and data integration

The parameter values provided on this page are common recommendations for establishing configuration baselines. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Errors

  • Phenomenon: No feedback is displayed after clicking the like or dislike buttons in the dialogue interface, and no relevant records appear in the backend logs. Cause: The ENABLE_FEEDBACK configuration item is not enabled, causing interactive data to fail to sync to the system.
  • Phenomenon: Content returned by the dialogue interface call does not follow the required JSON format, with redundant natural language descriptions. Cause: The prompt does not explicitly specify the JSON field structure and mandatory closing requirements, or the RESPONSE_FORMAT configuration is not locked to JSON.
  • Phenomenon: After upgrading to version 4.14.3, an error fail to create post presigned url is displayed when uploading attachments, or RAG file upload fails. Cause: The access key and bucket permissions of S3 storage are not configured correctly, or the new version has stricter verification rules for S3 signature parameters, causing pre-signed URL generation to fail.

How to Confirm Proper Configuration

  • Initiate a test dialogue with multi-round follow-up questions, verify that context is correctly retained with no information gaps.
  • Upload a standard due diligence report attachment, confirm that parsing proceeds normally with no timeout or parsing failure prompts.
  • Call the dialogue interface, verify that returned content meets preset JSON format requirements with no additional redundant content.
  • Click the like and dislike buttons in the dialogue interface, confirm that the backend receives the corresponding interactive data.

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.