Deployment and Upgrade for Credit Application Risk Control

What the Data for This Use Case Looks Like

Credit application risk control data comes primarily from structured forms submitted by applicants, third-party credit reporting APIs, scanned business qualification documents, and financial transaction files. Structured fields include the applicant’s unified social credit code, applied credit limit (unit: yuan), application term (unit: months), and revenue data from the past three months (unit: ten thousand yuan), among others. Unstructured attachments are mostly PDF credit reports and scanned business licenses. Total attachment size per application is typically large. Data is captured as a snapshot when the application is submitted. Third-party credit data syncs based on the update cycle of the API provider.

What Constraints Do These Characteristics Impose on Deployment and Upgrade?

The mixed structured and unstructured data of credit applications requires deploying both structured data parsing and multimodal file parsing modules. Field units and format requirements are strict. Perform field mapping verification before deployment to avoid confusion of limit units. The large total attachment size per application requires adjusting file upload and parsing timeout parameters. Retain existing form field mapping rules during upgrades. Roll out new parsing models via gray release to avoid disrupting ongoing credit review workflows. Configure retry mechanisms for third-party credit API calls to prevent review interruptions from API fluctuations.

Configuration Settings

Configuration Item	Suggested Value	Rationale
`UPLOAD_FILE_MAX_SIZE`	`1000 MB`	Credit application attachments often include multi-page credit reports and transaction files. This value covers most application scenarios
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Unstructured attachment parsing takes a long time, especially multi-page PDF credit reports. Sufficient parsing time must be reserved
`maxContext`	`8000–12000 characters`	Structured fields and attachment content of credit applications must be fully included in the context to ensure the risk control model can access all review information
`Recall count`	`Top 8 entries`	Credit review requires covering multi-dimensional credit and business data of the applicant. Too many recalled entries increase model load, too few may miss key information
`Similarity threshold`	`0.75–0.85`	Accurate matching between materials submitted by applicants and standard credit templates is required to avoid misjudgment or missed judgment
`MODEL_RETRY_TIMES`	`2 times`	Third-party APIs or model calls may experience temporary fluctuations. Limited retries can improve review success rate

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material formats, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

Symptom: Unable to adjust knowledge base reference limit after local deployment, no corresponding adjustment entry in the interface. Cause: Advanced deployment mode is not enabled, and custom permissions for reference parameters are restricted by default.
Symptom: Knowledge base data exported from v4.9.2 version, modified using v4.12.1 version CSV template, fails to import with field mismatch error. Cause: Different versions of knowledge base CSV templates add two required fields: review status and associated application ID. Failure to supplement corresponding content will cause import failure.
Symptom: Empty result returned when calling risk control model, logs show 408 Request Timeout error. Cause: PARSE_FILE_TIMEOUT_SECONDS parameter is not adjusted. Parsing time of multi-page attachments exceeds the default threshold, causing timeout.

How to Confirm Configuration Is Complete

Upload a test credit application dataset that includes multi-page PDF attachments and structured fields. Check if all parsed fields and attachment content are fully displayed.
Adjust the similarity threshold parameter, submit test similar materials, and verify whether the number of returned matching results meets expectations.
View system logs to confirm that the retry count of third-party credit API calls matches the MODEL_RETRY_TIMES configuration, and there are no frequent timeout errors.
Export the current version of the knowledge base configuration and compare it with the official template of the corresponding version to confirm that all required fields are correctly configured.

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.