What the data for this category looks like
Financial sector full-vehicle research report data primarily comes from automotive team reports of securities firm research institutes, official public disclosure documents of automakers, and statistical materials from automotive industry associations. Update cadences vary by publisher. Securities firm reports are updated according to the release cycle of individual stocks or sectors. Automaker financial report-related reports are updated quarterly. Industry trend reports are released irregularly. Document structure includes fields such as core vehicle parameters, monthly/quarterly sales data, supply chain upstream and downstream analysis, and interpretation of industry policy impacts. Sales units are ten thousand vehicles, cruising range units are kilometers, and suggested retail price units are ten thousand yuan. Some reports include vehicle test data and competitor comparison tables.
Constraints for HTTP Interfaces and External Systems
The multi-source update cadence and structured field characteristics of full-vehicle research reports create multiple constraints for HTTP interface and external system integration. First, individual reports are lengthy and include tabular structured data. Interfaces need to support long text parsing and table field extraction to avoid truncating critical parameters. Second, field names and units vary across reports from different sources. External system integration needs preset field mapping rules to ensure consistent units for core metrics such as sales and cruising range. Third, non-fixed-cycle updates need interfaces to support both on-demand pulling and scheduled triggering modes to adapt to the release cadences of different sources.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Full-vehicle research report main text typically contains a large number of parameters and analysis. A value of 8000 characters or more covers core report content and helps avoid truncating critical information |
recallTopK | Top 10–15 entries | Full-vehicle research reports involve multi-dimensional parameters. Too many recalled entries increase interface load, while too few may fail to cover all relevant information |
similarityThreshold | 0.75–0.85 | Detailed vehicle models and parameter comparison content in full-vehicle research reports have high similarity. Setting a reasonable threshold helps filter low-relevance recall results |
PARSE_TABLE_ENABLE | Enabled | Full-vehicle research reports include structured tabular data such as sales and parameter comparisons. Enabling this setting extracts table fields to support accurate question answering |
HTTP_REQUEST_TIMEOUT | 600 seconds | Long-text research report parsing and external system integration need extended processing time to help avoid request interruption due to timeout |
WORKFLOW_API_RESPONSE_EXTRACT_MODE | Extract by field | Full-vehicle research report question answering needs to return structured parameters. Extracting by field helps ensure uniform return result formats |
The parameter values provided on this page are all common recommended 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 Misconfigurations
- Calling a workflow interface returns empty values. This occurs when the output node of the knowledge base assistant is not bound in the workflow, or when the API response field mapping switch is not enabled in versions v4.8.10 and above.
- Vehicle parameter fields returned by the interface are empty. This occurs when the
PARSE_TABLE_ENABLEconfiguration is not enabled, so structured tabular data in research reports cannot be extracted, leading to core parameters not being indexed. - Image links returned by the interface fail to load properly. This occurs in versions v4.8.12-beta and above when
WORKFLOW_API_RESPONSE_EXTRACT_MODEis not adjusted to the extraction rule adapted for external resources, resulting in image URLs not being returned correctly.
How to Verify Correct Configuration
- Initiate a single HTTP request with keywords for a single full-vehicle research report. Check if the returned results include core parameters of the corresponding vehicle model, and confirm that the number of recalled entries matches the
recallTopKconfiguration range. - View the interface response logs to confirm that the units of structured fields match the original research report, and verify that the filtering effect of
similarityThresholdmeets expectations. - Test the scheduled pulling interface, compare update results across different cycles, and confirm adaptation to the release cadences of research reports from different sources.
- Call keywords for research reports that include image links. Check if the returned image URLs are accessible normally, and verify the correctness of the return extraction mode configuration.
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.