What Data for This Category Looks Like
Data sources include public reports from industry associations, industry updates from commodity information institutions, and chemical sector research reports from securities firms. Update frequencies follow three patterns: daily spot market updates, weekly industry supply and demand briefings, and ad-hoc policy interpretations and research meeting minutes. Document structures include industry supply and demand analysis, price fluctuation records, breakdowns of downstream application scenarios, and excerpts of relevant policies. Fields include operating rate-related indicators, inventory levels, price ranges, and import and export volumes. Most units are tons, days, and range values. Some documents include structured data tables.
Constraints for Workflow Orchestration
Differentiated daily and weekly update cycles require workflows to support multiple trigger modes. Configure timed trigger nodes to match the update cycles of different data sources. Variations in document structure across multiple sources require workflows to adapt to parsing logic for different formats. Configure nodes to separately process plain text and structured table research reports. Diversity of field units and indicators requires workflows to include a built-in variable standardization step. This unifies indicator definitions across all data sources. Diversity of segmented product categories requires workflows to support retrieval filter configurations per category. This avoids retrieving content from unrelated categories. Dispersed data sources require workflows to connect multiple independent knowledge bases. Configure multi-knowledge base fusion nodes to integrate retrieval results.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Timed Trigger Cycle | 1 Day / 1 Week | Matches the update rhythm of daily spot market and weekly briefing data for the plastics and rubber industry |
Node Output Toggle | Enable/Disable as Needed | Hides outputs from intermediate AI dialogue nodes to simplify final displayed content |
Variable Scope | User-level | Each user ID corresponds to independent category filter parameters, avoiding global variable conflicts |
Number of Connected Knowledge Bases | 2-4 | Covers the three core data source types: industry associations, information institutions, and securities firm research reports |
Retrieval Similarity Threshold | 0.75-0.85 | Filters low-relevance professional research report retrieval results to improve content accuracy |
Knowledge Base ID Binding Method | Configure per Node | Knowledge base retrieval nodes do not support direct reference to global variables; corresponding data source IDs must be manually bound |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Symptom: All outputs from AI dialogue nodes in the workflow appear in the final result. Cause: The
Node Output Toggleis not configured, and all intermediate node outputs are retained by default. - Symptom: Knowledge base retrieval nodes cannot reference the global variable
datasetid. Cause: The data source configuration for knowledge base retrieval nodes only supports manual input or node parameter binding, and does not support direct calls to global variables. - Symptom: In a workflow based on question classification, only the first classification branch triggers knowledge base retrieval. Subsequent branches return no results. Cause: Retrieval filter conditions are not configured separately for each classification branch. Parameter residue from the previous branch affects the retrieval logic of subsequent branches.
How to Confirm Successful Configuration
- Trigger a timed workflow once. Check if research report data from the target data sources is pulled according to the set cycle.
- Switch between different user IDs. Verify that category filter parameters take effect independently, with no cross-user parameter conflicts.
- View workflow run logs. Confirm that knowledge base retrieval nodes successfully connect to the corresponding data sources, with no ID reference errors.
- Test query requests for different product categories. Verify that each classification branch triggers knowledge base retrieval and returns matching results.
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.