What the data for this category looks like
Commercial vehicle investment research data comes primarily from the Ministry of Industry and Information Technology motor vehicle announcements, official technical white papers from vehicle manufacturers, industry association operation monitoring reports, and public operation ledgers from freight platforms. Update cycles vary with vehicle model iterations and policy adjustments. There is no fixed schedule, but core parameter documents are mostly updated every six months or longer. Most documents combine structured tables and long-form text. Structured fields include curb weight, wheelbase, engine displacement, emission standards, and others. Common units are kilograms, millimeters, liters, and percentage points. Long-form text sections cover vehicle development backgrounds and market positioning analyses.
What constraints these characteristics impose on knowledge base retrieval and recall
Commercial vehicle investment research data has a high proportion of structured content and diverse field units. The retrieval link must support mixed use of structured field exact matching and full-text semantic recall. The non-fixed update cycle requires the recall pipeline to support incremental synchronization instead of full reconstruction, to avoid lagging retrieval results. A significant share of long-form documents requires limiting single-document splitting granularity, to prevent semantic loss from broken context. The multi-category, multi-parameter field characteristics require matching associated fields and units during recall, to avoid retrieval errors such as confusing curb weight and rated load capacity.
How to set configurations
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
Recall count | Top 8-12 entries | Commercial vehicle investment research requires covering multi-dimensional parameters. This volume balances retrieval coverage and result redundancy |
Similarity threshold | 0.72-0.85 | Commercial vehicle technical parameters require precise matching. A threshold that is too low introduces irrelevant competitor data, while a threshold that is too high misses models in the same category |
Chunk size | 800-1200 characters | Commercial vehicle technical documents mostly consist of coherent parameter descriptions. This length preserves complete context and avoids semantic breaks |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Commercial vehicle technical white papers and operation ledgers have large individual file sizes, requiring adaptation for large-file uploads |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large structured tables take longer to parse, preventing parsing failures from timeouts |
Rerank result count | Top 3-5 entries | Investment research scenarios prioritize displaying core benchmark data. Reranked results allow quick location of key parameter comparison content |
The parameter values provided on this page are conventional recommendations used to determine a starting point 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 values.
Three Common Mistakes
- Phenomenon: An error occurs in the question-and-answer workflow after adding a knowledge base, but the knowledge base search test returns results normally. Cause: The context window configuration of the question-and-answer pipeline is not adapted to the total character count of knowledge base recall results, and the concatenated content exceeds the upper limit.
- Phenomenon: Calling the knowledge base interface returns empty results or a 504 status code. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not configured, or its value is too short, causing retrieval to trigger before large technical document parsing is complete. - Phenomenon: Retrieval results include commercial vehicle parameter entries with mismatched units. Cause: Structured field matching rules are not enabled, and only full-text semantic retrieval is used, leading to confusion between parameter entries with units such as curb weight and rated load capacity.
How to Confirm Configurations Are Set Correctly
- Run a knowledge base search test, enter commercial vehicle professional terminology, and verify that the fields and units of returned results match the query target.
- Upload a single large commercial vehicle technical document, and check whether the parsing status is completed within the configured timeout period.
- Initiate a question-and-answer request with a knowledge base, and verify that the total character count of returned results meets the window limit requirements of the question-and-answer pipeline.
- View retrieval logs to confirm that the number of recalled results falls within the range configured for the
Recall countparameter.
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.