What data for this category looks like
Commercial vehicle investment research data mainly comes from Ministry of Industry and Information Technology motor vehicle product announcements, official automaker technical documents, industry association operation statistics, and terminal license plate verification data. Update cadences cover monthly (license plate data), quarterly (automaker financial reports, policy updates), and annual (industry white papers). Document structure falls into three categories: standardized parameter tables, operation analysis reports, and policy interpretations. Standardized parameter tables include fields such as rated load mass, wheelbase, driving range, and emission standards. Units uniformly follow national standard metrology specifications, including kilograms, kilometers, percentage, and others. Single parameter documents can be up to dozens of pages long.
What constraints do these characteristics impose on deployment and upgrade
Multi-source data with large differences in update cadences requires configuring multi-threaded synchronization tasks during deployment. Distinguish pull cycles for different data sources to avoid resource occupation from high-frequency pulls or data lag from low-frequency updates. The high proportion of long documents requires increasing the file parsing timeout threshold during deployment. It also requires configuring segment merging rules to adapt to semantic coherence of long documents. Standardized requirements for specific fields and units require pre-configuring field mapping verification rules during deployment. This blocks imported data that does not meet metrology specifications. High-frequency update needs for policy documents require upgrade processes to support incremental synchronization for targeted data sources. Only documents of specified types are updated.
How to set configurations
| Configuration Item | Recommended Value | Rationale for this Value |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Commercial vehicle standardized parameter documents can be up to dozens of pages long. Standard timeout thresholds cannot complete full parsing. |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Uncompressed size of a single commercial vehicle technical document can reach hundreds of megabytes. This setting adapts to large file upload requirements. |
Recall count | Top 12–18 entries | Commercial vehicle investment research requires covering multi-dimensional parameters and competitive product comparison data. The number of retrieved entries must match the information density needs of business analysis. |
Similarity threshold | 0.70–0.80 | Commercial vehicle parameter fields have high precision requirements. The threshold must balance accurate matching and comparative analysis needs for similar vehicle models. |
Incremental Sync Cycle | Configure by Data Source Type | License plate data supports daily synchronization. Policy documents support quarterly synchronization. The cycle must match the update cadence of each data source. |
TIKTOKEN_LOCAL_PATH | ./data/tiktoken/cl100k.tiktoken | Specify the local tokenization file path during offline deployment to avoid errors from requesting external network resources. |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Each situation requires specific analysis. It is recommended to test on relevant samples before finalizing values.
Three common mistakes
- Phenomenon: No team invitation function entry appears after local deployment, and related operations cannot be triggered from the interface. Cause: The
TEAM_INVITE_ENABLEconfiguration item is not enabled, or no valid invitation permission parameters are configured in the configuration file. - Phenomenon: After deploying the vector model offline, executing a curl request returns a
404 Not Foundor connection timeout error. System logs show attempts to request the external networkcl100k.tiktokenresource. Cause: The local tokenization file path is not specified. The system pulls the external tokenization library by default, causing the request to fail. - Phenomenon: Field mismatch or unit error prompts appear after importing commercial vehicle parameter data. Key parameters such as rated load mass and driving range are missing from parsing results. Cause: The commercial vehicle-specific field mapping template is not loaded. General document parsing rules are used directly, causing field verification to fail.
How to confirm configuration is correct
- Upload a commercial vehicle standardized parameter document, check parsing completion status and segment results. Confirm parsing timeout and file size configurations take effect.
- Execute an incremental synchronization task, check update times and synchronization results for different data sources. Confirm incremental synchronization cycle configuration meets business requirements.
- Initiate an investment research query for commercial vehicle models, check number and matching degree of retrieved results. Confirm number of retrieved entries and similarity threshold configurations take effect.
- View system operation logs, confirm tokenization file requests point to the local path, and no external resource call records exist. Confirm offline deployment configuration takes effect.
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.