What the data for this category looks like
The data for urban commercial bank intelligent due diligence reports mainly comes from three sources: the bank’s internal credit management system, industry data submitted by the local financial supervision bureau, and subject credit data from cooperating credit reporting agencies. Individual reports update in line with the credit cycle of the credit subject. Bulk due diligence data updates on a monthly basis.
The document structure is divided into four modules: subject overview, business data, credit ledger, and risk assessment. Fields include the unified social credit code, credit balance, risk classification level, and account number of the handling customer manager. Credit balance is measured in units of ten thousand yuan. The text content of a complete individual report is typically between 5,000 and 15,000 characters.
What constraints these characteristics impose on deployment and upgrade
The multi-source nature of urban commercial bank due diligence data requires configuring compliant external interface whitelists during deployment to prevent unauthorized data access. The monthly bulk update rhythm requires adapting the incremental package size of incremental indexing during upgrades to avoid excessive local storage usage from full indexing.
Using the unified social credit code as the unique identifier field requires configuring deduplication rules based on this field during deployment to avoid re-indexing due diligence reports for the same subject. The medium-length report text requires adjusting the parsing timeout threshold to accommodate long-text processing needs. Private cloud deployment environments require configuring HTTPS certificates for internal domains to ensure stability of external calls.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | The text of urban commercial bank due diligence reports is relatively long, requiring sufficient parsing time |
UPLOAD_FILE_MAX_SIZE | 500 MB | Due diligence reports include multi-page attachments, requiring support for large file uploads |
VECTOR_SIMILARITY_THRESHOLD | 0.75 | Field matching for due diligence reports needs to balance accuracy and recall rates to avoid mismatches |
MAX_RECALL_COUNT | Top 10 entries | The number of subjects included in a single batch of due diligence is limited, so excessive recall results are unnecessary |
WORKFLOW_IMPORT_ENABLE | true | Rapid migration of legacy due diligence analysis workflows is required after upgrade |
HTTPS_CERT_PATH | /etc/nginx/certs/ | Urban commercial bank private cloud deployments typically use certificates issued by internal CAs, requiring a unified storage directory |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfiguration Issues
- Phenomenon: A
403 Forbiddenerror is returned when calling the released voice function. Cause: The FastGPT application’s published API root address was not switched from HTTP to HTTPS. Internal calls in private cloud environments lack configured HTTPS certificates, leading to permission interception. - Phenomenon: An
unsupported workflow versionerror is displayed when importing a legacy workflow. Cause: TheWORKFLOW_IMPORT_ENABLEconfiguration item was not enabled, or the JSON structure of legacy workflows was not compatible after the upgrade. - Phenomenon: After deploying and upgrading to version
4.8.17, the indexing task for the due diligence knowledge base remains in therunningstatus, and theindex timeoutfield appears in logs. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted to a value suitable for long-text due diligence reports, causing the parsing task to be terminated before completion.
How to Verify Correct Configuration
- Log in to the system settings module of the FastGPT management backend, check the file upload related configurations, and confirm that the upload size limit matches the maximum file specification of due diligence reports.
- Initiate a batch indexing task for due diligence reports, check the task logs for any parsing failure or timeout related fields to verify that the timeout configuration is effective.
- Attempt to import a legacy due diligence analysis workflow file, confirm that the system does not show version incompatibility prompts to verify that the workflow import configuration is enabled.
- Call the root address of the application published API, confirm that the returned communication protocol is HTTPS to verify that the certificate configuration is correct.
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.