What the data for this category looks like
Commercial vehicle research report data comes from public industry association announcements, original equipment manufacturer technical white papers, and special surveys from third-party consulting institutions. Updates follow a monthly sales report and quarterly industry analysis rhythm. Special research reports are added when new models launch or policies adjust. Most documents pair structured tables with paragraph analysis, including fields such as vehicle curb weight, wheelbase, emission standards, and regional sales volume. Some reports include upstream and downstream supplier lists and production capacity data, with all fields clearly marked with units.
What constraints do these characteristics impose on knowledge base retrieval and recall?
Commercial vehicle research reports have many structured fields and specific units. Retrieval links must support field-level precise matching to avoid mixing parameters with different units. Updates occur both periodically and suddenly. Knowledge bases must support incremental updates and temporary supplementary uploads to prevent old data from overwriting new policy or new model information. Documents mix tables and paragraphs. Parsing links must preserve table structure and row-column associations to avoid losing parameter correspondences after splitting. Longer research report paragraphs need proper segmentation to prevent single-paragraph content from causing context overflow during recall.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1024 MB | Commercial vehicle research reports are mostly multi-page structured documents. This setting supports large file uploads and avoids the operational costs of split uploads |
Recall Count | 6–10 items | Commercial vehicle research reports cover vehicle parameters, market analysis, and policy interpretation. A reasonable recall count balances context length and information completeness |
Similarity Threshold | 0.75–0.85 | Commercial vehicle research reports contain many professional terms and specific parameters. This threshold avoids irrelevant content recall while covering relevant reports in targeted scenarios |
Segment Length | 800–1200 characters | Parameters and analysis in commercial vehicle research reports often form associated groups. This segment length preserves complete context for single analysis groups |
RECALL_REORDER_TOP_N | 3–6 items | Retain the most matching research report content to reduce redundant information interference with final answers |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large commercial vehicle research report documents take longer to parse. This setting avoids interrupting the parsing process due to timeout |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis, and testing on local samples is recommended before finalizing settings.
Three common errors
- Setting
recall_top_kto a value greater than 6 when calling the API results in a fixed returned result count of 6. The cause is that theMAX_RECALL_NUMparameter in private deployments is not adjusted synchronously, with a default limit of 6 items. - Uploading a commercial vehicle research report PDF triggers a file size limit error, and import fails. The cause is that the
UPLOAD_FILE_MAX_SIZEconfiguration value is smaller than the actual file size of the uploaded document. - Irrelevant research report content for other vehicle categories appears in retrieval results, and precise matching for commercial vehicle scenarios fails. The cause is that field-level retrieval configuration is not enabled, and the retrieval scope is not limited to commercial vehicle-specific parameters and documents.
How to confirm successful configuration
- Upload a commercial vehicle research report PDF larger than 500 MB, and confirm normal parsing and import to the knowledge base.
- Call the retrieval API and set
recall_top_kto 8, and confirm the returned result count matches expectations. - Retrieve parameters with specific units (such as curb weight in kg), and confirm recall results only include research report content with matching units.
- Call the knowledge base file upload API, upload a commercial vehicle research report document, and confirm successful upload completion.
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.