Key Characteristics of Source Data
Data sources include public regulatory announcements, internal submission ledgers from subsidiary companies, and third-party public industrial and commercial business data. Updates are completed in stages aligned with regulatory disclosure timelines and internal submission cycles. Documents use a layered structured format, with four core modules: overall group overview, independent due diligence entries for each subsidiary, related party transaction details, and risk investigation lists. Fields include consolidated group revenue, subsidiary registered capital, number of related party transactions, outstanding external guarantees, and more. Measurement standards use basic units such as RMB yuan and count of items.
Constraints for Model Integration and Configuration
Layered structured due diligence documents require configuration of structured field extraction rules during model integration, to adapt to the nested content structure of multiple modules. Multiple data sources require configuration of data source permission isolation rules, to distinguish call boundaries between publicly disclosed data and internally submitted data. Phased update cycles require configuration of incremental sync trigger conditions, to match regulatory disclosure timelines and internal submission cycles. Consistent field units require configuration of field mapping rules, to unify measurement standards for the same type of data from different sources. The large volume of related party transaction detail entries requires configuration of recall content filtering thresholds, to avoid redundant data occupying the model context window.
Recommended Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 12000–16000 characters | Matches the average length of layered structured due diligence documents, to carry core content across multiple modules |
chunkSize | 800–1000 characters | Matches the length of single related party transaction detail entries, to avoid breaking field association relationships during segmentation |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Meets parsing time requirements for large group due diligence documents, to prevent mid-process interruptions |
relevanceThreshold | 0.75–0.85 | Accurately recalls core fields such as related party transactions and outstanding external guarantees, to filter irrelevant content |
syncSchedule | Aligned with regulatory disclosure timelines + monthly internal submissions | Matches the phased update schedule of multiple data sources, to ensure data timeliness |
fieldMapping | Unify measurement standards to RMB yuan | Corrects unit differences across data sources, to ensure consistent model recognition |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- When calling a locally deployed DeepSeek-R1:7B model,
model response emptyis returned. The root cause is incorrect configuration of the model API address prefix and port mapping, which prevents requests from reaching the local model service. - After parsing a due diligence document, the model output does not include related party transaction detail entries. The root cause is failure to configure
chunkSizeto match the detail length, which causes segmentation to break the complete field association relationship. - After incremental sync, the latest subsidiary business data is not updated. The root cause is failure to set
syncScheduleto match the update cycle, with only fixed-cycle sync configured without distinguishing data source types.
How to Verify Correct Configuration
- An engineer uploads a standard due diligence report for this use case, checks that the parsed segmented content retains core field integrity, and verifies that segment length matches the preset configuration.
- An engineer initiates a model call, checks that the returned results include content for specified fields such as related party transactions and outstanding external guarantees, and confirms that the context window carries sufficient document information.
- An engineer triggers an incremental sync, checks that the sync log records the latest data source update time, and confirms that the sync plan matches the preset rules.
- An engineer calls the model's debugging interface, checks that the measurement standards after field mapping are unified, and confirms that no fields with inconsistent units remain.
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.