What the data for this category looks like
Data sources include internal credit approval archives, customer operation ledgers, public disclosure documents from local regulatory agencies, and regional industry reports compiled by industry associations. Update rhythm follows the credit cycle of credit subjects: internal documents are uploaded in monthly batches, and regulatory files are synced in real time. Document structures primarily combine structured tables and text analysis, and include fields such as unified social credit code, credit approval document number, customer revenue scale, and regional industrial support policy number. Units include ten thousand yuan, number of accounts, number of documents, and others.
What constraints do these characteristics impose on the knowledge base retrieval and recall link
The mixed structure of structured tables and unstructured text requires the retrieval link to support both field-level precise matching and semantic recall. Differences in update rhythms across data sources require configuring switching logic between incremental sync and full sync, to avoid duplicate indexing or missing latest regulatory documents. The presence of specific business fields requires setting field weights to prioritize matching credit subject identification fields, reducing irrelevant results. The high proportion of regional industry-related documents requires supporting geographic dimension filtering conditions, to narrow the retrieval scope and improve precision.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Urban commercial bank due diligence reports include structured tables and long text analysis. This range can retain complete single-segment business logic and table row content, avoiding splitting that disrupts semantic integrity |
recallTopK | Top 8–12 results | Urban commercial bank due diligence reports involve multi-dimensional credit and industry data. An appropriate number of recalled results can cover associated information from different business perspectives |
similarityThreshold | 0.75–0.85 | Balance precision and recall coverage, avoid missing weakly associated documents related to regional industrial policies |
enableStructuredParse | Enabled | Urban commercial bank due diligence reports contain a large number of structured tables. When enabled, it can extract field-level indexes to support precise matching of credit subject identification |
updateMode | Incremental sync + daily full sync verification | Internal credit documents are updated per cycle, regulatory files are synced in real time. Incremental sync improves indexing efficiency, daily full sync verification avoids missing data |
maxContext | 4000–6000 characters | Retain sufficient context to associate credit data with industrial policies, avoid truncating key business information |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common configuration mistakes
- Phenomenon: Retrieval results fail to match the unified social credit code field of the credit subject, only returning scattered text paragraphs. Cause: The
enableStructuredParseconfiguration is not enabled, structured field indexes are not extracted, so field-level precise matching cannot be triggered. - Phenomenon: Target due diligence reports cannot be retrieved via document title keywords. Cause: The
indexTitleconfiguration is not enabled, and document titles are not included in the retrieval index scope. - Phenomenon: Knowledge base retrieval response times out, with status code
504 Gateway Timeout. Cause: TherecallTopKvalue is set too high, loading too many recalled documents at once, combined with large model inference delay, exceeding the system resource carrying limit.
How to confirm the configuration is correct
- Upload an urban commercial bank due diligence report that includes structured tables, check the parsed field list to confirm that fields such as unified social credit code and credit approval document number have been extracted.
- Enter the unified social credit code of the credit subject as a retrieval keyword, verify that the retrieval results prioritize returning due diligence reports for the corresponding subject.
- Configure an incremental sync task, upload a new regulatory file, check the indexing progress to confirm that the incremental sync logic is working properly.
- Initiate multiple sets of test retrieval requests, adjust
similarityThresholdandrecallTopKto the range that meets business requirements, verify the precision and coverage of the recalled results.
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.