What the data for this category looks like
The data for joint-stock bank intelligent due diligence reports is primarily sourced from enterprise industrial and commercial public announcement systems, central bank credit reporting interfaces, internal bank credit ledgers, and audited financial statements of enterprises. Data updates are synchronized with the progress of due diligence projects. Single-project data is updated when enterprise business information changes or when credit approval nodes are updated. Documents use structured tables as the core carrier, including four core modules: enterprise main information, financial details, credit records, and related party transactions. Fields include unified social credit code, credit balance, guarantee amount, number of overdue days, with units uniformly set as ten thousand yuan or natural days.
What constraints these characteristics impose on deployment and upgrade
The multi-table nested document structure requires structured parsing rules to be configured during deployment, to accurately match field mappings for different modules and avoid field confusion across tables. The need to connect multiple data sources requires pre-configuration of permissions and data format adaptation for internal credit systems and external credit reporting interfaces, to ensure consistency of data synchronization. The dynamic update rhythm of single projects requires deployment of scheduled synchronization tasks and event-triggered mechanisms, to adapt to data updates at different nodes. During the upgrade process, old field mapping rules must be retained to avoid interrupting ongoing due diligence project processes, while also being compatible with new external data source interfaces.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | true | Due diligence reports use structured tables as the core carrier; enabling this allows accurate extraction of field information within tables |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Multi-table nested due diligence documents take longer to parse; 600 seconds ensures the complete parsing process is not interrupted |
UPLOAD_FILE_MAX_SIZE | 50 MB | A single due diligence report contains multiple pages of text and tables; 50 MB covers the size of most project documents |
maxContext | 8000–12000 characters | Table fields and associated business text must be fully retained to avoid truncation of core due diligence information |
reranker_top_n | Top 10 entries | Due diligence reports require accurate matching of multi-dimensional business fields; 10 recall results cover core associated information |
SYNC_DATA_INTERVAL | Every 24 hours | External credit reporting and industrial and commercial data are updated daily; scheduled synchronization ensures the timeliness of due diligence data |
The parameter values provided on this page are common recommendations used as a starting point for configuration. Actual values are affected by material form, 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 mistakes
- Phenomenon: The reranker model deployed in Docker cannot be called normally after filling in the custom request address. Cause: The request address is not configured as a network path accessible within the container, or the access permission for the corresponding port is not opened.
- Phenomenon: A knowledge base deployed on a cloud platform has slow response speed, and single query time exceeds expectations. Cause: System resource allocation is not adjusted according to the size of the due diligence report, or cache acceleration rules are not enabled, resulting in a large number of parsing requests not being scheduled reasonably.
- Phenomenon: A
400 Bad Requesterror occurs when configuring the model channel, prompting that the parameter format does not match. Cause: The prompt template of the model input is not adjusted according to the structured fields of the due diligence report, resulting in the model being unable to correctly recognize the extraction requirements.
How to confirm the configuration is complete
- Upload a standard joint-stock bank due diligence report, and check whether the extracted fields after parsing match the preset due diligence report field template.
- Run a scheduled synchronization task, and check that there are no error records in the synchronization logs of the internal credit system and external data sources.
- Test the custom request address of the reranker model, and verify that the interface can normally receive and return structured field extraction results.
- Adjust the context window parameter, upload a long document to check for text truncation, and confirm that the configuration adapts to the document length requirement.
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.