What the Data for This Category Looks Like
Vehicle industry research data sources include vehicle manufacturer public disclosure documents, industry regulatory announcements, supply chain collaboration documents, and third-party evaluation reports. Data updates follow disclosure milestones. Core financial statements are updated quarterly. Regulatory announcements and supply chain documents have no fixed release cycle. Document structures primarily consist of structured parameter tables and long-text analysis reports. Fields include power parameters, vehicle body dimensions, cost composition, policy compliance items, and more. Units include specific measurement identifiers such as power, cruising range, and currency units.
What Constraints Do These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
The large number of structured parameters, high proportion of long text, and lack of fixed update cycles for vehicle industry research data impose clear constraints on multi-turn dialogue and prompt engineering configurations. Multi-turn dialogue must track context such as user-specified vehicle models and comparison dimensions to avoid repeated inquiries about basic information. Long-text reports require prompts to clearly define recall scope, preventing redundant information from interfering with research conclusions. The lack of fixed update cycles requires adding latest data verification logic in prompts, and unifying field unit identification and output rules to ensure the accuracy of parameter comparisons.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 12000–15000 characters | Most vehicle industry research documents are long-form text, need to retain context information such as vehicle models and comparison dimensions in multi-turn dialogue |
recallTopK | Top 8–10 entries | There are many vehicle parameter fields, need to recall sufficient structured data to cover query requirements |
similarityThreshold | 0.75–0.85 | Balance recall relevance and coverage, avoid recalling parameter data from irrelevant vehicle models |
promptTemplate | Fixed template including vehicle model scope, unit verification, and latest data requirements | Unify the output logic of research conversations, ensure parameter comparisons comply with industry specifications |
PARSE_FILE_MAX_CHUNK_SIZE | 800–1200 characters | Adapt to the segmentation requirements of vehicle long-text reports, avoid context breaks affecting understanding |
PARSE_FILE_TIMEOUT_SECONDS | 60–120 seconds | Adapt to the parsing time of long vehicle documents, avoid timeout errors caused by overly long documents |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Configuration Mistakes
- Phenomenon: After calling the API to start a multi-turn dialogue, the returned result includes historical records not from the current session. Cause: The
conversationIdparameter was not passed correctly, causing the session context to reuse old session data. - Phenomenon: The AI reply does not follow the required JSON format. Cause: The JSON output requirement was not clearly specified in the
promptTemplate, and corresponding format parameters were not configured. - Phenomenon: Calling the dialogue interface returns a
408 Request Timeouterror. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and the parsing time of long vehicle documents exceeded the default threshold.
How to Confirm Correct Configuration
- Initiate two consecutive vehicle model parameter queries, verify that the dialogue context retains the vehicle model range specified in the first query.
- Submit a query that includes unit requirements, verify that the AI reply matches the specified unit identifier.
- Call the API with the
conversationIdparameter, verify that the returned result only includes context data from the current session. - Upload a long vehicle document, verify that the parsed segment length meets the requirements of the configured
PARSE_FILE_MAX_CHUNK_SIZEparameter.
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.