What the data for this category looks like
Data sources include official brand vehicle configuration databases, monthly activity announcements from offline stores, work order records from after-sales systems, and common consultation texts from vehicle owners. Update cadences: vehicle parameters are synchronized every quarter, store activities are updated weekly, and owner consultation corpus is collected daily in incremental batches. Document structures mostly include structured vehicle parameter tables (with fields such as displacement, range, wheelbase), unstructured activity announcements (with time, location, benefit details), and semi-structured work order summaries. Fields and units include range (unit: km), maintenance cycle (unit: month), activity validity period (unit: day), and customer visit frequency (unit: times).
What constraints these characteristics impose on the "model integration and configuration" link
Mixed access to multi-source data requires configuring differentiated synchronization rules to avoid interference between data sources with different update cadences. Structured vehicle parameter fields are numerous and precise, so a high matching threshold must be set to prevent recall of mismatched configuration information. Marketing content has clear timeliness, so validity period filtering rules must be configured to exclude expired activities. Daily incremental owner consultation corpus requires adjusting the vector database synchronization frequency to balance real-time performance and resource usage. Some marketing content is tied to store locations, so location-associated recall rules must be configured to ensure returned content matches the user’s region.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Auto service marketing content includes long-form vehicle parameters and activity announcements. Excessively long context causes model redundancy, while excessively short context loses critical configuration information |
vectorUpdateCycle | Every 6 hours | Store activities update weekly and owner corpus increases daily. Synchronizing every 6 hours balances latency and resource usage |
structuredRecallMatchScore | 0.85–0.9 | Vehicle parameter fields are numerous and precise. A high threshold prevents recall of mismatched vehicle configurations |
contentValidityFilter | Enabled, filter content with expiration time earlier than current time | Auto service marketing content has clear activity validity periods. Expired content may mislead users |
apiTimeout | 30 seconds | Some vehicle parameter interfaces return large volumes of data. 30 seconds covers most request durations and avoids timeout errors |
recallTopK | Top 3–5 results | Auto service user consultations mostly focus on single scenarios. Too many recalled results distract the model |
Three common misconfigurations
- When a user submits a complex after-sales question beyond the model’s capabilities, the manual handoff process is not automatically triggered. This occurs because the manual handoff trigger threshold for
intentRecallThresholdis not configured, or the dedicated API interface for manual handoff is not bound. - A locally deployed model returns a fixed initial time value and cannot obtain the server’s real time. This occurs because the
timeSyncEnableswitch is not enabled in the model integration configuration, or permissions to call the server time interface from the local model are not configured. - Expired maintenance package information appears in vector recall results. This occurs because the
contentExpireFilterconfiguration item is not enabled, and no content validity period filtering rules are set, leading to recall of expired marketing content.
How to confirm configuration is complete
- Upload one test document containing the latest store activities, check the vector synchronization log, and confirm the synchronization execution frequency matches the configured
vectorUpdateCycleparameter. - Enter a query text containing specific vehicle displacement, verify the matching score of the recall results, and confirm the matching degree aligns with the preset threshold rules.
- Enter a query containing expired activity keywords, review the model’s returned results, and confirm no expired content is recalled to verify the validity filtering configuration is active.
- Initiate a complex after-sales consultation requiring manual intervention, confirm the system triggers the manual handoff process, and verify the effectiveness of the handoff configuration.
The parameter values provided on this page are 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 values.
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.