What the data for this category looks like
Auto service marketing data is sourced primarily from auto insurance policy systems, offline shop maintenance records, customer CRM platforms, and auto insurance appointment platforms. Data updates follow two schedules: real-time and scheduled. Maintenance work orders and appointment records are generated in real time. Customer basic information and policy renewal data are synced weekly. Each customer-associated data document includes customer ID, vehicle VIN, insurance coverage types, consumption amount, in-store visit time, and next maintenance/renewal reminder date. Field units follow standard formats: yuan, kilometers, and YYYY-MM-DD. Some data entries include service technician IDs and shop codes.
What constraints these characteristics impose on multi-turn conversations and prompt engineering
The vehicle VIN serves as a unique identifier. It requires precise association between customers and their corresponding auto insurance and maintenance data during multi-turn conversations, to avoid mixing information across different customers. Real-time generated maintenance and renewal reminder data requires conversation context to support real-time calls to the latest service records. It also requires limiting the volume of real-time data loaded into the context window. The multi-field document structure requires prompt engineering to explicitly specify the range of recalled fields, filtering out internal coding fields unrelated to marketing. Standardized field units require prompt engineering to standardize output formats, preventing marketing information deviations caused by mixed units.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Auto service marketing requires accommodating multi-turn conversations and multiple maintenance, renewal records. Longer context prevents critical information from being truncated |
recall_top_k | Top 6–8 results | Auto service marketing covers scenarios including maintenance, renewal, roadside assistance and more. Too many recalled results will dilute effective marketing information |
conversation_history_retention_days | 30–90 days | Marketing reviews require access to historical conversations. Too long a retention period wastes unnecessary storage resources |
knowledge_base_permission_mode | Role-based isolation | Internal work orders and policy data for auto services require restricting access only to authorized customer service roles, to prevent sensitive information leaks |
parse_file_chunk_size | 800–1000 characters | Auto service maintenance documents contain lengthy descriptive content. Chunk size adapts to field density and recall accuracy |
prompt_template | Must include VIN matching rules, field unit standards, marketing scenario restrictions | Precisely match customers with their corresponding data, prevent output deviations and irrelevant information |
The parameter values provided on this page are common recommended starting points 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 Mistakes
- Phenomenon: Conversation record retention duration does not match expectations. Some records exceeding the configured number of days remain accessible. Cause: The system configuration file containing the
conversation_history_retention_daysparameter was not modified correctly, or the configuration value was not applied after restarting the service. - Phenomenon: Knowledge base recall results include unauthorized internal work orders or policy data. Cause: Role-based isolation settings for
knowledge_base_permission_modewere not enabled, or corresponding knowledge base permissions were not assigned to customer service roles. - Phenomenon: Mixed units appear during multi-turn conversations, such as marking maintenance mileage in miles instead of kilometers. Cause: The prompt template did not explicitly specify unified standards for field units, and did not restrict output formats.
How to Confirm Configuration is Complete
- Check the parameter value of
conversation_history_retention_daysin the system configuration file. Confirm it matches business requirements, then restart the service. - Switch between different role accounts to test access to the knowledge base. Verify that only authorized roles can view corresponding internal data.
- Launch a simulated multi-turn conversation, enter a customer VIN and maintenance/renewal requirements. Check that recalled fields match the preset range.
- Adjust the
maxContextparameter, then launch a test including multiple historical conversations. Confirm that context loads without truncation.
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.