What this category of data looks like
Vehicle research report data mainly comes from securities research institutions, authoritative automotive industry associations, and public announcements and financial reports of listed automakers. Update cycles cover weekly sales tracking, monthly production and sales data, quarterly industry trend analysis, and special research reports. Publication periods range from one-day emergency comments to quarterly in-depth reports. Document structure includes report title, issuing institution and date, core production and sales data, vehicle model parameter analysis, industry ratings, and risk warnings. Fields include vehicle sales (unit: units), production capacity (unit: 10,000 units/year), component unit price (unit: yuan), research report rating, release time, and more. Some reports include vehicle model configuration details and market share calculation content.
Constraints on citation source and traceability
The multi-source nature of vehicle research reports requires traceability links to associate unique identifiers of different data sources such as securities research institutions, industry associations, and automaker announcements. This avoids confusion of cross-source data. Research reports with varying update cycles — from one-day emergency comments to quarterly in-depth reports — require precise release times to be recorded in traceability information. This ensures the latest data for the corresponding cycle is called. Long document structures mean single research reports have large content volumes. Traceability must locate specific page numbers and paragraph ranges, rather than only providing file names. Multiple fields with different units and statistical cycles require traceability information to synchronously mark corresponding content. This prevents data interpretation bias.
Configuration settings
| Configuration Item | Recommended Value | Rationale | ||
|---|---|---|---|---|
Citation template | `【Source: {source} | Publish Time: {publish_time} | Page Number: {page_num}】` | Vehicle research reports need to clearly mark the source institution, release time and specific page number to meet traceability requirements in professional scenarios |
Recall count | Top 8-12 entries | Vehicle research reports have high data density. Too many retrieved entries increases context redundancy. Too few fails to cover core data fragments | ||
Similarity threshold | 0.75-0.85 | Vehicle research reports contain many professional terms. A threshold that is too low introduces irrelevant fragments. A threshold that is too high may miss relevant data content | ||
PARSE_FILE_TIMEOUT_SECONDS | 300-600 seconds | Long in-depth research reports take longer to parse. This range avoids incomplete document parsing due to timeout | ||
Chunk size | 800-1200 characters | Vehicle research reports have high paragraph information density. Segments that are too long break context association. Segments that are too short result in incomplete information in retrieved fragments | ||
Rerank result count | Top 5-7 entries | Rearranged results filter the most relevant research report fragments. This ensures traceability information is precise and not redundant |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: Preset citation information does not appear at the end of knowledge base answers. Reason: The custom citation template function is not enabled in the corresponding version of AI advanced configuration, or the
Citation templateparameter is not configured correctly. Required placeholders such as{source}and{publish_time}are missing from the template. - Phenomenon: Timeout errors occur when parsing long in-depth research reports. Reason: The value set for
PARSE_FILE_TIMEOUT_SECONDSis too low, and cannot cover the time required for long document parsing. - Phenomenon: Statistical cycles and units corresponding to the research report are not marked in traceability information. Reason: Corresponding field placeholders are not added to the
Citation template, or statistical cycle and unit information from the research report is not correctly extracted during document upload.
How to confirm proper configuration
- Upload a test automotive industry research report, configure the corresponding parameters, initiate a query, and check whether preset citation information appears at the end of the answer.
- Review the knowledge base parsing log to confirm that long document research reports are not truncated due to timeout, and parsing time falls within the range configured by
PARSE_FILE_TIMEOUT_SECONDS. - Verify the source, release time and page number of retrieved research report fragments to confirm they match actual document content.
- Initiate consecutive queries to check if contextually associated retrieved fragments include correct traceability information.
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.