What the Data for This Category Looks Like
This use case targets construction machinery research report retrieval and Q&A scenarios for finance, insurance, and wealth management sectors. Data sources include public statistics from industry associations, quarterly financial reports and official technical documents from original equipment manufacturers, and on-site survey data from third-party consulting institutions. Update cycles cover weekly model sales data, monthly market share reports, and quarterly full-industry analysis research reports. Most documents are structured as multi-chapter collections, with modules including core performance parameters, segmented model comparisons, and industrial chain supply and demand analysis. Fields include model number, manufacturer, rated lifting capacity, operating radius, and power, among others. Common units include tons, meters, kilowatts, liters per hour, and other physical quantity units.
Constraints for Workflow Orchestration
Multiple data sources require configuring parallel pull nodes in the workflow to avoid missing information from single sources. Data sources with different update cycles need differentiated scheduled synchronization cycles to prevent resource waste from high-frequency pulling of low-update-frequency data. The relatively long length of individual research reports requires adjusting parameters for the document splitting node to balance context completeness and retrieval efficiency. Inconsistent field naming and units require adding a standardization mapping step in the workflow to ensure accurate field matching during retrieval. Additionally, entity recognition needs for segmented models require integrating targeted entity extraction nodes in the workflow to improve keyword retrieval accuracy.
Configuration Parameters
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_DOC_SPLIT_LENGTH | 1000–1500 characters | Construction machinery research reports have high content density per page. This split length preserves complete parameter context while avoiding overly long fragments that impair recall efficiency |
RECALL_TOP_K | Top 8–12 results | Construction machinery research reports cover a large number of segmented model categories. This value range covers core retrieval results while filtering redundant irrelevant data |
SYNC_CRON_EXPR | 0 0 2 * * 6 | Industry research reports are mostly updated after Friday market close. Synchronizing every Saturday early morning ensures data timeliness while avoiding peak business hours |
FIELD_MAPPING_RULE | Map in the order of "model number → core performance parameters → publishing institution" | Inconsistent field naming exists in construction machinery research reports. Unified mapping improves field matching accuracy during retrieval |
TIMEOUT_SECONDS | 300 seconds | Parsing and retrieval of individual long research reports take a long time. This value prevents task premature termination |
IMAGE_DISPLAY_ENABLE | Enabled | Research reports include model appearance and on-site operation photos. Enabling this allows normal rendering of image URLs in the conversation interface |
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 targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: The conversation interface fails to display image URLs returned by the workflow. Cause: The
IMAGE_DISPLAY_ENABLEconfiguration item is not enabled, or the image display logic is not configured in the conversation rendering node. - Symptom: The workflow cannot process voice input for research report retrieval requests. Cause: No speech recognition node is integrated in the workflow start node, so voice cannot be converted to text format retrieval keywords.
- Symptom: The conversation opening greeting does not implement language switching as configured. Cause: No multi-language trigger rule is configured in the workflow initialization node, resulting in only a single language greeting being returned.
How to Verify Successful Configuration
- Trigger the parsing task for a single construction machinery research report, check the split text fragments after parsing to confirm they match the preset length range.
- Submit a retrieval request containing a specific model number, verify that the returned result fields are uniformly mapped to the preset format.
- Check the execution logs of the scheduled synchronization task to confirm that multi-source data pulling is completed according to the configured cycle.
- Upload a research report segment containing images, confirm that the conversation interface can normally render the returned image URLs.
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.