What the data for this category looks like
Data for financial leasing mainly comes from project ledgers, lessee credit reports, financial leasing contracts, repayment transaction records, and overdue records. Data updates follow two rhythms. Core repayment and overdue data sync in real time. Overall project ledgers update monthly or when individual projects close. Document structures include fields such as project number, lessee entity information, list of leased assets, rental calculation plan, installment repayment schedule, and default records. The unit for amounts is Renminbi yuan. The unit for terms is month or year. Leased assets are marked with physical units such as unit or set.
Constraints for multi-turn dialogue and prompt engineering
Multi-field associated data for financial leasing requires multi-turn dialogue to continuously track core context such as project number and current repayment cycle. This prevents parameter errors caused by lost context. Long document-structured project materials consume more context window space. This requires limiting the effective content length retrieved per round, to avoid exceeding the model's processing limit. Real-time updated repayment and overdue data requires prompts to explicitly specify calling the latest synchronized ledger data first. It also requires verifying field unit consistency, to avoid output with mismatched amount and term units.
Configuration settings
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Adapts to the segmented length of financial leasing project materials and multi-turn dialogue context tracking needs, avoiding context overflow |
recallTopK | Top 3–5 entries | Financial leasing project data has high correlation. Excessive recall leads to context redundancy and reduced accuracy of model judgment |
similarityThreshold | 0.75–0.85 | Filters low-correlation leasing project data, avoiding irrelevant fields interfering with core dialogue logic |
chunkSize | 1000–1500 characters | Matches the paragraph structure of financial leasing contracts, ensuring semantic integrity of single-segment content |
maxInputFileSize | 500 MB | Supports uploading complete large files such as financial leasing contracts and ledgers, adapting to the long document requirements of this category |
chatTimeout | 60 seconds | Prevents dialogue interruption due to excessive waiting during real-time repayment data queries, adapting to real-time data synchronization scenarios |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common misconfigurations
- Symptom: An "input content exceeds character limit" error is returned during dialogue debugging, or generated marketing content is truncated. Cause: The
maxContextparameter was not adjusted to fit the long text input of financial leasing projects, causing context splicing in multi-turn dialogue to exceed the character limit supported by the model. - Symptom: After associating multiple financial leasing project ledgers, the dialogue returns insufficient recalled content entries or no matching results at all. Cause: The set
similarityThresholdis too high, filtering out some low-correlation but valid project data, or therecallTopKvalue is too low, failing to recall enough associated content. - Symptom: In an international deployment environment, a 500 status code error occurs when calling the associated financial leasing knowledge base, with no abnormality in local preview. Cause: The default value of the
fileParseTimeoutparameter for the international version is too short, failing to adapt to the parsing time of long financial leasing documents, leading to file parsing timeout failure.
How to verify correct configuration
- Upload a complete financial leasing contract document, check that the number of parsed segments matches the number of original document paragraphs, confirming that the segmentation configuration adapts to the document structure.
- Initiate a multi-turn dialogue containing multiple project numbers, check whether core project identifiers are consistently retained in the dialogue history, confirming that the context configuration sufficiently supports business requirements.
- Enter a query statement containing leased assets and repayment plans, check that the number of recalled knowledge base content entries matches expectations, confirming that recall and similarity configurations align with business logic.
- Simulate a dialogue flow for real-time repayment data queries, check that the dialogue completes response within a reasonable time frame, confirming that the timeout configuration adapts to the business scenario.
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.