What Data for This Category Looks Like
Jewelry research report data primarily comes from category monitoring reports released by industry associations, quarterly product review documents from brands, jewelry category sales data from cross-border e-commerce platforms, and exhibitor information from offline jewelry trade shows. Update frequencies differ across sources: industry research reports update monthly, brand monitoring data updates weekly, and e-commerce sales review data updates daily. Documents typically include modules such as category overview, material breakdown (such as alloy, silver jewelry, pearl), price trends (units include yuan/gram, yuan/item), channel share, new product trends, and exclusive structured fields including SKU code, material purity, minimum order quantity, and tariff rate.
How These Characteristics Create Constraints for Workflow Orchestration
Multi-source data has differing update frequencies. This requires configuring differentiated scheduled trigger nodes, and distinguishing execution cycles for full synchronization and incremental synchronization. Documents include exclusive structured fields such as material purity, SKU code, and tariff rate. Generic text chunking risks losing critical information, so structured parsing nodes must be configured to extract these fields. Jewelry research report price data uses multiple units such as yuan/gram and yuan/item. Unit standardization rules must be added during the preprocessing stage. Document formats vary significantly across different data sources. Format validation nodes must be added at the start of the workflow to filter invalid or abnormally formatted documents.
Configuration Setting Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Jewelry research reports often contain multi-material breakdown tables, with longer parsing times than generic documents |
maxChunkSize | 800–1200 characters | Short fields such as SKU code and material purity must be preserved in full, to avoid breaking long text chunks |
RECALL_TOP_K | Top 8 entries | Jewelry research reports cover many specialized subcategories, so sufficient relevant passages must be retrieved |
SIMILARITY_THRESHOLD | 0.75–0.82 | A large number of specialized terms appear in jewelry research reports, so balance must be struck between retrieval accuracy and coverage |
WORKFLOW_TRIGGER_TYPE | Scheduled trigger + manual trigger | Supports daily manual retrieval and periodic full data updates |
TEXT2SQL_TABLE_MAPPING | Calibrated based on actual testing | Structured fields in jewelry research reports differ from generic business tables, so custom mapping rules are required |
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 targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Insufficient number of results returned after workflow execution. The cause is failure to adjust the
RECALL_TOP_Kparameter for the subcategory attributes of jewelry research reports, leading to retrieved passages that fail to cover content for corresponding subcategories. - Imported or exported workflows fail to run in a new environment, with a
plugin_not_founderror prompt. The cause is failure to package and migrate custom parsing plugins referenced by the workflow along with the workflow file, with only the workflow JSON configuration copied. - Empty results returned by text2sql calls. The cause is failure to configure
TEXT2SQL_TABLE_MAPPING, making it impossible to map user questions to the exclusive structured field table for jewelry research reports.
How to Confirm Proper Configuration
- Upload a local jewelry research report document, and check if parsing results fully extract exclusive fields such as SKU code and material purity.
- Trigger a single workflow run, and check if successful execution records for format validation and structured parsing appear in the run logs.
- Submit a question involving a specific jewelry subcategory, and verify that retrieved results cover relevant content for the corresponding subcategory.
- Test the text2sql call function, and confirm that query statements containing exclusive structured fields for jewelry can be generated based on the question.
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.