What This Category of Data Looks Like
Data sources for financial leasing investment research include lease contract texts, leased asset valuation reports, industry regulatory documents, vendor quotation sheets, and corporate credit reports. Update rhythms vary with business nodes:
- Lease contracts are updated immediately after signing
- Valuation reports are updated quarterly or on the valuation benchmark date
- Regulatory documents are updated irregularly as policies are released
Document structures are mostly semi-structured. Lease contracts contain modules such as leased asset details, rent payment schedules, and guarantee clauses. Valuation reports contain fields such as valuation benchmark date, replacement cost, and remaining useful life rate. Field units include professional financial measurement units such as ten thousand yuan, yuan/month, and month/year.
What Constraints Do These Characteristics Impose on the Citation Source and Traceability Link
Dispersed data sources and inconsistent update rhythms require traceability information to be associated with multi-source identifiers and update times, to avoid citing expired or irrelevant data. Semi-structured documents with specialized field units require traceability to retain unit annotations for fields, to prevent unit ambiguity in investment research conclusions. Long individual document lengths require retaining the original document’s business module associations during segment parsing, to avoid losing traceability anchors after splitting. Investment research scenarios require verifying the rationality of business logic, so traceability information must be precise to specific contract numbers and report numbers.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall Count | Top 8-12 entries | Financial leasing investment research documents are mostly a mix of structured and semi-structured data. Too many recalled entries will dilute valid business information, while too few will fail to cover multi-dimensional data of leased assets |
Similarity Threshold | 0.72-0.80 | A large number of standardized fields exist in financial leasing data. A threshold that is too low will recall irrelevant industry reports, while a threshold that is too high will miss associated documents for the same leased asset |
Segment Length | 1000-1500 characters | The core business information of a single segment of lease contracts and valuation reports is approximately 1200 characters. Excessive length will cause traceability anchors to become unclear, while insufficient length will split content of the same business logic |
Citation Source Display Format | Document Type + Number + Field Name | Financial leasing investment research requires clear traceability to specific contract numbers and valuation report numbers, to facilitate subsequent verification of business logic rationality |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Parsing large lease contracts takes significant time. A timeout will prevent some documents from completing traceability binding |
maxContext | 8000-12000 characters | Investment research requires associating related fields across multiple documents. Excessive length will cause context redundancy, while insufficient length will truncate prerequisite business information required for traceability |
This page provides parameter values as common starting points 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.
Three Common Misconfigurations
- Symptom: After increasing
maxContextto more than 2000 characters, the generated result does not include any citation sources. Cause: When the context window is too large, the system cannot accurately bind traceability identifiers of original segments, causing the citation association logic to fail. - Symptom: The traceability fields of parsed lease contract documents are empty, and source numbers cannot be displayed in results. Cause: The
Extract Document Metadataconfiguration is not enabled, and core traceability fields such as contract numbers and leased asset numbers are not captured. - Symptom: Multiple recalled documents cannot be associated for traceability according to business logic, and incorrect citations across leased assets appear. Cause: The
Similarity Thresholdis set too low, recalling a large number of irrelevant industry reports and failing to establish precise business associations.
How to Confirm Proper Configuration
- Upload a complete lease contract text, check the parsed metadata panel, and confirm that the contract number and leased asset details fields have been correctly extracted.
- Initiate an investment research query, check the citation source list in the results, and confirm that each citation includes the document type, number and corresponding field.
- Adjust the
Recall Countparameter, test whether the number of citations in the query results matches the recall count, with no abnormal missing or redundant entries. - Upload an updated leased asset valuation report, confirm that the traceability information includes the update time field, to distinguish between old and new version data.
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.