What the Data for This Category Looks Like
Automotive service-related research reports mostly originate from automotive finance industry associations, publicly disclosed documents from insurance institutions, and research results from third-party automotive service consulting firms. Most reports are updated on a monthly or quarterly basis. Document structures combine structured tables and text analysis. They include segmented fields such as vehicle configuration, after-sales costs, insurance premium rates, and financial lease terms. Units include units, percentages, yuan, and per mille, among others. Individual documents range from thousands to tens of thousands of characters. Some documents include segmented data for regional markets and after-sales service outlets.
Constraints on Citation Source and Traceability From These Characteristics
Automotive service research reports contain mixed structured content and segmented fields. Original structural connections must be preserved when splitting documents. Otherwise, traceability cannot accurately match corresponding data sections. Individual documents have wide length ranges. Split lengths must adapt to different content types. This avoids losing core identifying information such as insurance premium rates and vehicle models after splitting. The monthly or quarterly update rhythm requires the knowledge base synchronization cycle to align with the research report release cycle. Otherwise, traceability results will include expired data. Some documents include regional market data. Traceability must retain geographic dimension identifiers to ensure the accuracy of citation sources.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
segment length | 800–1200 characters | Adapts to the mixed structured and unstructured content length of automotive service research reports, avoiding loss of core identifying fields after splitting |
recall count | Top 6–8 results | Covers multiple data sections within a single research report, avoiding missing citation sources for segmented content such as insurance premium rates and after-sales costs |
similarity threshold | 0.72–0.80 | Filters low-match irrelevant research report content, while retaining precise matching results for segmented vehicle models and regional market data |
knowledge base sync cycle | 30 days | Aligns with the monthly update rhythm of automotive service research reports, ensuring traceability results include the latest publicly available data |
reranked return count | Top 3–5 results | Prioritizes displaying core data sources, matching the usage habit of practitioners quickly locating research report sections |
citation format | Retain document title, release date, and vehicle model fields | Matches the segmented identifying fields of automotive service research reports, ensuring traceability information can be quickly identified |
The parameter values provided on this page are general recommendations to use as a starting point for configuration. Actual values are affected by material format, 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
- Phenomenon: Unparsed
{{}}format variables appear in returned citation content, and document identifying fields are not displayed correctly. Cause: Failed to adapt to the variable compatibility rules of version V4.8.18-FIX2, failed to enable the variable parsing switch for the node, or used non-standard variable naming formats. - Phenomenon: The interface returns the citation list first before outputting the answer content, which does not match the expected output order. Cause: Failed to adjust the
return citation timingparameter. By default, the interface returns traceability information first. - Phenomenon: The recalled citation sources do not include the research report content from the target knowledge base, and the number of results does not match the configured requirements. Cause: Failed to set
knowledge base selectionto a fixed value or bind the correct variable reference, resulting in random matching of knowledge bases during calls.
How to Confirm Proper Configuration
- Submit a test query containing keywords for segmented vehicle models and insurance premium rates, confirm that the returned citation list includes clear document titles, release dates, and vehicle model fields.
- Check the knowledge base synchronization logs, confirm that the synchronization cycle aligns with the research report release cycle, and no expired data is included in the recall range.
- Call the test interface, adjust the
similarity thresholdparameter, observe changes in the matching accuracy of recall results, and confirm that the parameter takes effect. - Check the configuration of the
knowledge base searchnode in the workflow, confirm that the knowledge base selection is bound to a variable reference that can be passed via the API, and can complete parameter transmission.
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.