What the data for this category looks like
Financial report data for the multi-financial category primarily comes from public regulatory disclosure documents, internal institutional management reports, and third-party data service provider APIs. Update cycles follow quarterly and annual core schedules, with real-time updates triggered by interim announcements. Document structures include standardized financial statement modules and non-standardized note disclosures. Core fields include attributable net profit, net asset scale, business revenue proportion, and similar metrics. Units are mostly based on ten thousand yuan or hundred million yuan. Some cross-border business reports include foreign currency translation data.
Constraints Imposed on Deployment and Upgrade by These Characteristics
Bulk quarterly updates and real-time updates from interim announcements for multi-financial financial reports require concurrent data ingestion capabilities during deployment. Configure thread pool and batch indexing parameters in advance. Long-text note modules exceed basic tokenization lengths, so adjust segmentation rules to adapt to long document parsing. Multi-currency translation fields introduce additional data dimensions, so configure multiple vector index branches. Retain vector index mappings for historical financial reports during upgrades to prevent old data from becoming unsearchable after version iterations. Internal management report formats vary across institutions, so reserve configuration entry points for custom parsing rules during deployment to support import of non-standardized data.
How to Set Configuration Values
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Financial report documents typically include long-text notes; 600 seconds allows complete parsing |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Compressed packages and original documents for annual financial reports typically do not exceed this threshold |
maxContext | 800–1200 characters | Context length for core financial report fields fits this range, preventing truncation of critical data |
Recall count | Top 10 entries | Associated data for multi-financial financial reports typically falls within 10 report modules |
Rerank result count | Top 3 entries | Core analysis only requires the 3 most relevant sets of financial report data |
VECTOR_DB_BATCH_SIZE | 50 entries per batch | Concurrent stability for batch indexing, avoiding timeouts caused by too many entries ingested in a single run |
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. Each scenario requires individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: Vector search returns no results after updating the version, and the knowledge base field displays as empty in the interface. Cause: The database migration script was not executed during the upgrade, and the field mapping of the legacy vector index was not synchronized to the new version.
- Symptom: The number of retrieved results does not match expectations after bulk importing quarterly financial reports. Cause: The
Recall countparameter was not adjusted, and the default configuration cannot cover multi-module associated data for multi-financial financial reports. - Symptom: Retrieval result reranking is marked as false after deploying the reranking model. Cause: The API address of the reranking model was not configured in the
RERANKER_API_URLparameter, or interface permissions were not enabled, leading to call failures.
How to Confirm Configuration is Complete
Upload a single-quarter financial report document, wait for parsing to complete, then check the parsing status to confirm no timeout errors. Initiate a financial report keyword search, and verify that returned result fields match fields in the original document. Trigger a version upgrade process, verify that the database migration script executes automatically with no error logs. Call the reranking model test interface, confirm that returned results include ranking markers with no call failure prompts.
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.