What Data for This Category Looks Like
Financial report data for vehicle enterprises comes from public periodic disclosures by stock exchanges and official production and sales bulletins released by enterprises. Update cadence includes quarterly, semi-annual, and annual periodic disclosures, supplemented by temporary monthly updates of production and sales data. Document structure centers on structured financial statements, paired with unstructured business analysis and management discussion content. It includes detailed fields such as vehicle revenue, delivery volume, per-vehicle cost, and R&D investment. Units include RMB 10,000, units, and 100 million yuan, among others.
Constraints Imposed by These Characteristics on Deployment and Upgrade
The long-document nature of vehicle financial reports requires sufficient parsing timeout and context window parameters during deployment to prevent process interruptions from insufficient duration. The mixed update cadence of periodic and temporary updates requires supporting incremental synchronization and scheduled scheduling functions during upgrades to ensure timely data updates. The mixed structured and unstructured document structure requires enabling multi-format parsing plugins during deployment to balance table extraction and text processing. The large number of detailed fields that differ from other industries requires reserving sufficient field mapping and recall space during knowledge base configuration. This avoids missing key analysis information while ensuring configurations are adapted to vehicle business scenarios.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Single annual report PDF for a vehicle enterprise typically exceeds 500 MB; reserves sufficient space for upload and parsing |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Long document parsing requires extended duration to avoid interrupting the parsing process due to timeout |
CHUNK_SIZE | 800–1200 characters | Adapts to mixed content of structured financial tables and unstructured business analysis, balances context integrity and recall accuracy |
RECALL_TOP_K | Top 10 entries | Vehicle financial reports have many detailed fields; sufficient relevant segments must be recalled to cover complete analysis requirements |
SIMILARITY_THRESHOLD | 0.75–0.85 | Financial data has high accuracy requirements; filters low-correlation recall results |
INCREMENTAL_SYNC_CRON | 0 2 * * * | Adapts to the update cadence of monthly production and sales bulletins and quarterly/annual reports; runs incremental sync daily at 2 AM |
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. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing.
Three Common Errors
- Symptom: Knowledge base recall results do not match financial report detailed fields, and responses include fabricated vehicle business data. Cause: No appropriate similarity threshold and recall count configured for structured financial report fields, leading to recall of low-correlation or incorrect segments.
- Symptom: Service fails to start after Docker deployment, with a prompt indicating missing system dependencies. Cause: A server system adapted for Docker container runtime was not selected; a distribution that does not support containerized deployment was used incorrectly.
- Symptom: An error indicating an incorrect root password is prompted when initializing the management interface, making it impossible to log in to the configuration interface. Cause: The
INITIAL_ROOT_PASSWORDenvironment variable was not configured correctly, or the entered password does not match the value set in the configuration file.
How to Confirm Proper Configuration
- Upload an annual report PDF for a vehicle enterprise, check the restored text and structured table results after parsing, and confirm the parsing process is working normally.
- Trigger an incremental sync task, view the sync logs, and confirm that only newly added or updated financial report files are processed, with no duplicate sync behavior.
- Send multiple rounds of query requests, observe service response status, and adjust concurrency-related configurations to match actual access requirements.
- Log in to the management backend, verify that the values of core configuration items match the preset deployment plan.
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.