What Data for This Category Looks Like
Data for vehicle industry research reports comes from three main sources: brokerage auto industry research reports, official automaker technical whitepapers, and production and sales data reports from industry associations. Update schedules align with new model launches, quarterly industry data releases, and industry policy changes. Each document includes multi-dimensional parameter tables, competitor comparison analyses, and trend forecast chapters. Fields include vehicle level, power parameters, cost structure, release date, and other details. Some parameters have clear physical units. Documents are typically long.
What Constraints Do These Characteristics Impose on Deployment and Upgrade
Decentralized data sources require configuring multi-data source connection rules during deployment, and adapting to format changes from different data sources during upgrades. Long document length requires adjusting parsing and chunking parameters during deployment, and compatible with long document parsing logic optimizations during upgrades. Multiple fields with specific units require configuring field mapping rules during deployment, and handling index adaptation for new fields during upgrades. Irregular update frequency requires setting scheduled synchronization tasks during deployment, and adapting to new synchronization trigger mechanisms during upgrades.
How to Set Configuration Values
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Vehicle industry research report documents are long, so a longer parsing time is required to avoid mid-process timeout interruptions |
maxContext | 8000–12000 characters | A single research report includes multi-dimensional analysis content, so sufficient context must be retained to cover complete parameter and logical associations |
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapt to the total storage requirements of a single long research report and associated attachments |
Recall Count | Top 8 results | Balance the multi-dimensional recall requirements of research report data and retrieval efficiency |
Similarity Threshold | 0.72–0.85 | Accurately match detailed parameters and analysis content in research reports, avoid interference from irrelevant fragments |
RAG_REINDEX_INTERVAL | 1 day | Adapt to the update rhythm of vehicle industry research reports following industry dynamics, ensure timeliness of retrieved data |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: Model vendor icons fail to load after upgrade, and the console returns a 404 status code. Reason: Frontend static resource packages were not synchronized and updated during upgrade, and the old icon path is not adapted to the new configuration.
- Phenomenon: An error
fail to create post presigned urlis prompted when uploading research report attachments. Reason: Cross-domain rules or access key parameters for object storage were not reconfigured after upgrade, leading to signature generation failure. - Phenomenon: An error occurs when uploading files after migrating to S3 storage, and files cannot be synchronized normally. Reason: The storage bucket write permission policy was not updated after upgrade, or the configured storage region parameter is incorrect.
How to Confirm Configuration is Correct
- Upload a test vehicle industry research report document, check if preset core fields are fully extracted after parsing, and confirm that the parsing timeout configuration does not trigger an interruption.
- Initiate a retrieval request for specific vehicle parameters, verify that the number of returned relevant document fragments matches the configured recall count, and that similarity falls within the preset range.
- Manually trigger a RAG reindex task, check if research report data in storage is updated according to the latest configuration, and confirm that scheduled synchronization rules are effective.
- Call the model interface and view frontend rendering results, confirm that vendor icons load normally, and no error messages are returned.
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.