What the data for this category looks like
Financial leasing investment research data mainly comes from project due diligence archives, lease asset ownership registration documents, rent payment ledgers, lessee financial statements, and industry regulatory policy documents. The length of individual documents varies widely. Single project due diligence reports can reach dozens of pages. Rent ledgers are structured tables. Update cadence follows business nodes: rent ledgers sync monthly, ownership files update when lease assets change, regulatory policy documents update at policy publication time. Core fields include lease asset original value, monthly rent, lease term, lessee credit rating, and some fields have clear units.
What constraints do these characteristics impose on deployment and upgrade
The characteristics of financial leasing investment research data impose clear constraints on deployment and upgrade links. Mixed structured and unstructured data with wide length variation requires configuring differentiated parsing resource thresholds. This avoids wasted resources on short text parsing or timeout issues for long text parsing. Fluctuating data update cadence tied to business nodes requires upgrade links to support incremental synchronization mechanisms. This eliminates the need for full re-scanning of all data sources every time. Core fields include numeric data with clear units. Deployment requires presetting field mapping rules to avoid unit confusion in parsed data. Regulatory policy documents have high timeliness requirements. Upgrade links require synchronously updating trigger-based update scheduling configurations for data sources.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600-900 seconds | Adapts to long text parsing needs for single financial leasing project due diligence reports, avoids timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Covers maximum file volume after merging dozens of pages of due diligence reports |
maxContext | 8000-12000 characters | Fully carries core context of multi-page project documents, prevents truncation of critical information |
INCREMENTAL_SYNC_ENABLE | Enabled | Matches the monthly update cadence of rent ledgers, reduces resource consumption from full scans |
FIELD_MAPPING_PRESET | Bind unit rules for lease asset original value and monthly rent | Prevents separation of numeric values and units after parsing, ensures availability of investment research data |
Recall count | Top 8-10 entries | Balances information comprehensiveness required for investment research and resource efficiency during inference |
The parameter values provided on this page are general recommendations for establishing configuration starting points. Actual values are affected by material formats, data volume, and business rules. Specific scenarios require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After local Docker deployment, modifying the frontend access address to HTTPS results in failed page loading. Cause: The HTTPS certificate path and port forwarding rules for the backend reverse proxy were not updated synchronously, leading to mismatched front-end and back-end protocols.
- Phenomenon: Using a workflow to call text2sql to generate SQL returns empty results or errors. Cause: No preset prompts for the exclusive fields of financial leasing structured ledgers, leading to the model being unable to accurately identify field rules.
- Phenomenon: When adding a locally deployed Qwen3 model to the configuration, an error "This model only supports streaming" is prompted. Cause: The streaming output switch in the model configuration was not enabled. Some locally deployed Qwen3 versions only support streaming calls; forcing streaming off triggers the error.
How to confirm the configuration is correct
- Upload a complete due diligence report for a single project, verify field integrity and unit correctness of the parsed document, and check if the configured field mapping rules take effect.
- Trigger an incremental sync task, verify that only updated rent ledger data is correctly synchronized, and no full data source scan is triggered.
- Call the model to test long text parsing, verify that the parsing timeout configuration meets document loading requirements, with no mid-process interruptions.
- Configure the HTTPS certificate and restart the service, verify that the frontend page can be accessed normally via the HTTPS address, with no protocol errors.
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.