What the data for this category looks like
Funding source KYC data sources include bank transaction statements, tax payment certificates, asset ownership documents, large transaction description documents, and similar materials. Update timing triggers with business processing nodes, with no fixed cycle. Most documents use multi-page structured or semi-structured formats, and some carry electronic signatures or encrypted packaging. Each single document includes fields such as transaction subject, transaction amount, transaction time, fund flow, and remarks. Most field units use currency units or standard timestamp formats. Some fields require linking to third-party verification interfaces to complete validation.
Constraints Imposed by These Characteristics on Deployment and Upgrade
Since funding source KYC data includes encrypted signature files and semi-structured formats, deployments must pre-adapt parsing plugins for corresponding formats to avoid parsing failures. Data updates have no fixed cycle. Upgrade workflows must support dynamic loading of new data source structures without fully rebuilding parsing logic. Some fields require linking to third-party verification interfaces. Deployments must reserve resource quotas for parallel calls to multiple interfaces. Upgrade workflows must synchronously update interface authentication configurations. Some documents contain sensitive information. Deployments must configure data desensitization rules. Upgrade workflows must synchronously verify the compatibility of desensitization logic.
How to Set Configuration Values
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Funding source documents are mostly multi-page transaction statements or asset files, which take longer to parse. This range adapts to long-document parsing requirements |
UPLOAD_FILE_MAX_SIZE | 2000–5000 MB | Large transaction description documents and asset ownership files have large sizes. This range supports large-file upload verification |
maxContext | 8000–12000 characters | KYC verification requires retaining complete transaction details and associated fields. This range extends context length to cover all information |
RECALL_TOP_K | Top 10–15 entries | KYC verification requires matching multiple transaction records. This range recalls enough associated documents for cross-verification |
DATA_DESENSITIZE_ENABLE | Enabled | Funding source data contains sensitive transaction subjects and amount information. Enabling this rule ensures compliance |
PROXY_HTTP_PROXY | Configure based on actual network environment | Some third-party verification interfaces require proxy access. This adapts to network restrictions for private deployments |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material formats, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Parsing funding source documents returns a
413 Request Entity Too Largeerror after deployment. TheUPLOAD_FILE_MAX_SIZEparameter was not adjusted, and the default configuration cannot accommodate large transaction description or asset ownership files. - When deploying with a vector database, document recall results are empty, and logs show connection timeout. The
PROXY_HTTP_PROXYparameter was not configured, and network access between the vector database node and the parsing node is restricted. - After triggering KYC verification, the returned verification result only contains Chinese, and does not follow the preset English prompt requirements. The
LLM_DEFAULT_LANGUAGEparameter was not set to English, and the default Chinese model is called to generate results.
How to Confirm Configuration Is Complete
- Upload a funding source document of the preset maximum size, check the upload progress and parsing status, confirm there are no timeout or size limit errors.
- Call the third-party verification interface for testing, check that interface authentication and desensitization rules are working correctly, confirm that sensitive information is not directly exposed.
- Configure an English prompt to initiate a verification request, check that the model output language meets preset requirements, confirm that the language parameter is effective.
- Trigger a parallel parsing task for multiple documents, check system resource usage, confirm that the reserved interface call quotas are not exhausted.
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.