What the Data for This Category Looks Like
The data for credit application risk control comes from credit application materials submitted by users. It includes structured application forms and unstructured scanned content. Structured content covers standardized fields such as applicant identity information, application amount, application purpose, and credit status. Unstructured content mostly consists of long texts or multi-page documents like complete business licenses, credit reports, and operating transaction records. Data is updated either synchronously each time a new application is submitted, or for fixed-cycle synchronized credit and operating data. Field units include standard business units such as yuan, times, and years.
Constraints Imposed by These Characteristics on the Knowledge Base Retrieval and Recall Link
The high proportion of structured fields requires the retrieval system to support both precise matching of structured fields and unstructured semantic retrieval. This prevents missing core application information that would occur if only semantic recall is used. The high update frequency requires support for high-frequency incremental synchronization. This prevents the materials in the knowledge base from being out of sync with the latest application data. Most unstructured content is long text. When performing segmented retrieval, sufficient contextual association must be retained. Otherwise, the semantic integrity of the materials will be damaged. Fields and units are clearly defined. Retrieval must prioritize matching core business fields. This ensures that recalled results align with the core needs of credit review.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall count | Top 10-15 results | Credit application materials cover multiple core fields. A sufficient number of matching results must be covered to meet review needs and avoid missing key associated materials |
Similarity threshold | 0.75-0.85 | Credit review requires precise matching of core business information. A threshold that is too low will introduce irrelevant materials, while a threshold that is too high will fail to recall semantically relevant historical application templates |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Credit materials include long texts such as detailed transaction statements and complete credit reports. Parsing takes a long time, so the timeout period must be extended to avoid parsing failures |
Incremental sync interval | 1 hour | Credit applications are submitted at a high frequency. Latest application materials and updated credit data must be synchronized regularly to ensure the timeliness of knowledge base content |
maxContext | 2000-3000 characters | Contextual association of credit materials is tight. Retaining sufficient segmented context ensures the accuracy of retrieval semantics and avoids loss of key information after splitting |
Rerank result count | Top 5 results | Prioritize displaying the most matching core application materials, reduce the screening cost of review personnel, and improve review efficiency |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Each scenario requires targeted analysis. It is recommended to test on local test samples before finalizing configuration values.
Three Common Misconfigurations
- Symptom: Knowledge base response times out, and the interface displays a
504 Gateway Timeouterror. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. Parsing time for long credit materials exceeds the default threshold, leading to request timeout. - Symptom: Core application fields are not included in retrieval results, and result relevance is weak. Cause: The
Similarity thresholdis set too high. Only fully matching materials are recalled, ignoring some semantically relevant historical application templates and associated data. - Symptom: When deploying locally with a custom interface, a
database connection failederror appears during retrieval. Cause: Connectivity verification between the knowledge base and the custom database was not configured, or database permissions did not open the query port for corresponding credit materials, preventing retrieval from reading target data.
How to Confirm Proper Configuration
- Upload a complete credit application material, and check that the parsed text fully includes all core fields with no truncation or lost content.
- Submit a simulated credit application query, and verify that the returned recall results include matching core fields and relevant historical materials.
- Simulate a scenario of high-frequency credit application submissions, and check that the knowledge base completes incremental synchronization on time with no synchronization delays.
- Review system logs, and confirm that there are no
PARSE_FILE_TIMEOUTrelated errors, and that retrieval request response times meet expectations.
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.