What the Data for This Category Looks Like
For construction machinery marketing and customer acquisition scenarios targeting the finance sector, data primarily comes from official manufacturer product manuals, technical parameter documents, dealer inquiry ledgers, and after-sales maintenance records. Some ledger data related to dealer financing needs is also included. Data update cycles align with new product launches, compliance standard adjustments, or quarterly parameter iterations. Most individual documents combine structured parameter tables and scenario description text. Core fields include product model, rated lifting capacity (unit: ton), maximum operating radius (unit: meter), fuel type, and applicable working conditions. Some documents also include operation video links and parts lists.
How These Characteristics Create Constraints for Workflow Orchestration
The mixed data feature of structured parameters and scenario descriptions requires configuring structured data extraction nodes in the workflow to split parameter fields and scenario text, to adapt to standardized marketing content output for finance scenarios. Data updates have no fixed cycle, so timed trigger nodes or webhook mechanisms tied to manufacturer document updates must be bound, to avoid using outdated parameters that compromise finance marketing compliance. Parameter differences across different construction machinery models are significant, so branch judgment nodes must be added to the workflow to match the corresponding parameter library based on the input product model, to prevent inaccurate marketing content caused by cross-model parameter mixing. Marketing content must combine working condition adaptation descriptions and financial financing needs, so nodes that perform multi-round recall to associate different document fragments must be configured, to ensure output content matches the specific working condition and financing scenario of user inquiries.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
structured extraction field configuration | Match product model, rated lifting capacity, maximum operating radius | Core marketing parameters for construction machinery require standardized output, covering high-frequency fields in user inquiries |
recall count | Top 8-12 entries | Construction machinery parameter documents are often long texts. Too many recalls will exceed the context window, while too few will fail to cover complete working condition parameters |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Construction machinery documents often contain multiple parameter tables and high-definition images, resulting in long parsing times |
similarity threshold | 0.75-0.85 | Construction machinery parameters have high precision requirements. A threshold that is too low will recall irrelevant model parameters, while a threshold that is too high will fail to match working condition descriptions |
segment length | 800-1200 characters | Construction machinery scenario description texts are long. Excessively long segments will cause context association breaks, while excessively short segments will lose scenario association information |
trigger method | Filter by document update time + timed trigger | Construction machinery data updates have no fixed cycle, so the latest version of product parameter documents must be prioritized for calls |
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. Specific issues require on-site analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: A "parameter format error" pop-up appears after entering the workflow template editing page. Cause: The field mapping relationship for
structured extraction field configurationis not configured correctly, or the product document library for the corresponding category is not bound. - Symptom: Results returned after the workflow runs mix parameters of different construction machinery models. Cause: The
similarity thresholdfilter is not configured in the retrieval node, resulting in recalled parameters that do not match the target model. - Symptom: Users cannot distinguish the configuration differences between the knowledge base node optimization and the problem optimization node, and cannot obtain official usage instructions. Cause: The built-in system node parameter comparison document is not viewed, or the detailed display function of the node help panel is not enabled.
How to Confirm Proper Configuration
- View the structured extraction node output logs of the workflow, confirm that the preset core parameter fields for construction machinery have been extracted.
- Simulate input inquiries for different construction machinery models, verify that the parameters returned by the workflow match the documents of the corresponding model.
- Test the timed task or webhook that triggers the workflow, confirm that the node automatically calls the latest version of the product document.
- Check the workflow running logs, confirm that the parsing duration meets the preset timeout configuration requirements.
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.