What data for this category looks like
Funding source KYC data mainly comes from bank corporate and personal transaction statements, scanned transfer vouchers, tax returns, asset certification documents, and similar materials. Data update rhythm follows transaction frequency. A corresponding record is generated immediately after a single transaction is completed. Monthly summary reconciliation files are generated. The document structure includes structured transaction detail tables and unstructured scanned attachments. Fields include transaction serial number, transaction time, transaction amount, counterparty account, fund usage, and account balance. Units are uniformly set to RMB yuan, and dates use the YYYY-MM-DD format.
What constraints do these characteristics impose on the "source citation and traceability" link?
First, the mixed structure of structured details and unstructured attachments requires the traceability chain to associate both structured metadata and fragmentary content from original files. This prevents traceability bias caused by relying solely on text semantics. Second, the high-frequency real-time update frequency requires the traceability system to support incremental synchronization and version tracking. This ensures cited funding source data aligns with the latest transaction records. Third, the compliance requirement of strong multi-field association demands precise matching of specific fields such as transaction amount and counterparty account during traceability. Generic text matching is not permitted. Fourth, the need for multi-document cross-verification requires the traceability chain to support the generation of multi-file linked traceability chains, fully displaying the capital flow path.
How to configure
| Config Item | Recommended Value | Rationale |
|---|---|---|
recall_top_k | Top 10-15 entries | Funding source KYC requires coverage of multiple related transactions. Too few entries cannot fully display the capital flow chain. Too many entries increase context redundancy |
similarity_threshold | 0.75-0.85 | Funding source fields such as transaction counterparty and transaction amount have high matching precision requirements. A threshold that is too low will introduce irrelevant transaction records |
chunk_size | 500-800 characters | Split document fragments by single transaction record to retain complete transaction field integrity, avoid traceability confusion across transactions |
context_window | 4000-6000 characters | Funding source credentials include multiple sections of transaction details and attachment descriptions. Sufficient context is needed to retain complete traceability information |
source_version_sync | Hourly incremental synchronization | Fund transaction data has a high update frequency. Scheduled incremental synchronization ensures the timeliness of traceability data |
enable_field_tagging | Enabled | Add tags to dedicated fields such as transaction amount and transaction time to facilitate precise location of associated content during traceability |
The parameter values provided on this page are all conventional recommendations used to determine a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing values.
Three common errors
- Attempting to set
recall_top_kto 300 results in values only available outside the 100 and 900 ranges. This occurs because the front-end control for this parameter uses discrete value restrictions. A custom value must be passed via the API interface. - Format errors occur when referencing HTTP-returned fund transaction details. This happens because field alignment preprocessing is not performed on the HTTP-returned structured data, making it impossible to match preset funding source fields during traceability.
- A large number of low-relevance citation entries appear even when
similarity_thresholdis set to 1. This is because field matching for funding source KYC requires consideration of both semantics and structured rules. Relying solely on a similarity threshold cannot filter out unrelated transaction records.
How to confirm correct configuration
- Submit a test request for funding source verification. Check the citation source module in the returned results to confirm that the number of associated transaction records falls within the preset
recall_top_krange. - Check the field tags in the citation source to confirm that dedicated fields such as transaction amount and transaction time have been correctly labeled.
- Compare original credentials and cited fragments to confirm that split content does not cross transaction records, and retains complete field integrity.
- Trigger a data synchronization task to confirm that the latest transaction records have been added to the traceability knowledge base.
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.