What the data for this category looks like
Financial leasing research report data mainly comes from internal business ledgers of leasing companies, quarterly disclosure reports from industry associations, and monthly submission documents from regulatory authorities. Most individual documents take the form of structured tables, including fields such as project number, lessee entity information, original value of leased assets, rent payment cycle, days past due, and lease term. Field units include ten thousand yuan, yuan/month, days, years, and some documents include text descriptions of project risk ratings. Data update rhythm follows monthly or quarterly cycles, and change records for some existing projects are supplemented to corresponding reports in real time.
Constraints imposed by these characteristics on model integration and configuration
Financial leasing research reports contain large amounts of sensitive enterprise entity information and precise financial values. Data desensitization rules must be configured during the integration phase to prevent privacy leaks. There are many structured fields with mixed units, so targeted field matching rules need to be configured to ensure accurate association of core business fields such as leased asset original value and rent cycle during retrieval. The text length of individual reports is generally long, so chunk processing must avoid splitting cross-project fields into the same segment, which would reduce retrieval accuracy. Additionally, the monthly or quarterly update rhythm requires flexible index update cycles to match business data release schedules.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | A single research report contains multiple sets of independent leasing project data. This range prevents cross-project fields from being included in a single chunk, which would cause confusion in retrieval matching |
DATA_MASKING_ENABLE | Enabled | Research reports contain sensitive fields such as lessee identity information and leased asset addresses, requiring automatic desensitization processing |
INDEX_UPDATE_CRON | 0 0 2 * * * | Industry research reports are updated monthly. Execute incremental index updates at 2 AM daily to match business data release rhythms |
MAX_CONTEXT_TOKENS | 128000 | Single financial leasing research reports have relatively long lengths, requiring adaptation to the context window limits of mainstream large models |
UPLOAD_FILE_ALLOWED_EXT | csv, xlsx, pdf | Business ledgers are mostly in table format, supporting commonly used import and parsing formats |
PARSE_FILE_TIMEOUT | 600 seconds | A single research report may contain hundreds of project records, requiring sufficient parsing time to be reserved |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Issue: Importing the same CSV research report fails after upgrading the version, returning
413 Request Entity Too Large. Cause: The default value ofUPLOAD_FILE_MAX_SIZEwas adjusted from 100 MB to 50 MB in the new version, and the corresponding configuration item was not updated synchronously. - Issue: Uploaded research report files are not directly read by the large model, and returned results do not match the original table fields. Cause: The
DIRECT_FILE_INFER_ENABLEparameter was not configured. By default, files are parsed into plain text before being passed to the model, resulting in loss of structured information from the original file. - Issue: Unable to pull financial leasing industry data after connecting an MCP tool. Cause: The data source interface corresponding to the category was not bound in the MCP configuration, or the authentication key required for the interface was not configured.
How to Verify Successful Configuration
- Upload a test research report containing sensitive fields, and check whether the parsed text automatically hides information such as lessee ID numbers and phone numbers.
- Initiate a retrieval for a specific leasing project number, and check whether the returned recalled segments accurately match the core fields of the project, and the quantity matches the value of the configured
recallTopK. - View the system index update log, confirm that incremental updates are automatically executed according to the cycle configured by
INDEX_UPDATE_CRON, and there are no abnormal errors. - Upload a test file exceeding the configured
UPLOAD_FILE_MAX_SIZE, and verify whether the system triggers a corresponding size limit prompt.
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.