What Data for This Category Looks Like
Textile and home textile investment research data primarily comes from brand public financial reports, industry association segmented category reports, fabric supplier supply chain ledgers, e-commerce platform sales data, and patent application documents. Financial reports are updated quarterly, including structured tables such as revenue breakdowns and inventory turnover. Industry reports are updated monthly, covering market analysis for segmented categories like bedding and outdoor apparel. Supply chain ledgers are updated weekly, including detailed fields such as fabric composition, SKU codes, and supply unit prices. E-commerce sales data is updated daily, recording sales volume and customer unit price for individual products. Document structures include long-text analysis, structured tables, and structured API data. Fields must accurately match business details.
Constraints on Traceability
The multi-dimensional detailed fields and varied update schedules of textile and home textile investment research data create clear constraints for the traceability process. Segmented fields such as SKU and fabric composition must be used as traceability anchors. Relying solely on text keyword matching will not accurately locate corresponding products or supply chain information. Update frequencies vary significantly across different data sources. Incremental retrieval based on timestamps must be supported to avoid introducing outdated supply chain or sales data. Structured table documents require extraction of cell-level traceability information. Extracting only full paragraphs cannot meet precise traceability requirements. In scenarios with mixed data sources, each citation must be labeled with its source type. This helps investment research personnel distinguish between industry reports, financial reports, or supply chain data.
Configuration Settings
| Configuration Key | Recommended Value | Rationale |
|---|---|---|
| Number of Recalled Results | top 10 | Textile and home textile investment research data includes multi-dimensional segmented fields, covering SKU, fabric, supply chain and other types of information. 10 results balance recall coverage and result accuracy |
| Similarity Threshold | 0.75–0.85 | Matching accuracy requirements for segmented category fields are high. A threshold that is too low will introduce irrelevant fabric and SKU data. A threshold that is too high will fail to recall valid supply chain information |
PARSE_TABLE_ENABLE | enabled | Textile and home textile data includes structured content such as financial report tables and fabric composition tables. Enabling table parsing extracts cell-level traceability anchors |
| Incremental Update Frequency | once daily | E-commerce sales data is updated daily, and supply chain weekly reports are synchronized weekly. Daily updates cover most real-time business data |
SOURCE_METADATA_INCLUDE | ["sku_code", "fabric_composition", "update_time"] | Textile and home textile investment research requires tracing core fields such as SKU and fabric composition. These metadata must be included in citation display |
RECALL_RERANK_ENABLE | enabled | Multi-dimensional field recall results require reranking to prioritize fabric and revenue data that match core investment research needs |
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 specific analysis; it is recommended to test against your own samples before finalizing.
Three Common Misconfigurations
- Symptom: After associating a local knowledge base, the citation list displays the correct document, but the generated response does not use the document content. Cause: The
RECALL_RERANK_ENABLEconfiguration is not enabled, or the similarity threshold is set too high, causing valid recalled documents to not be included in the generation context. - Symptom: When calling a workflow, the knowledge base variable passed via the API does not take effect, and the node returns no data. Cause: The variable reference configuration is not enabled in the workflow node, and the parameters passed via the API are not bound to the knowledge base selection node.
- Symptom: The returned citation list does not include core investment research fields such as fabric composition and SKU. Cause:
SOURCE_METADATA_INCLUDEis not configured, and the metadata fields to be displayed are not specified.
How to Verify Correct Configuration
- Upload a textile and home textile financial report or fabric composition table document, and check if the parsed metadata includes specified fields such as
sku_codeandfabric_composition. - Initiate an investment research query, and check if the citation list of the returned results includes the document's update time and core business field information.
- Call the API to pass a custom knowledge base variable, and verify that the workflow node correctly calls the corresponding knowledge base to return valid results.
- Adjust the similarity threshold and initiate a query, and verify that the number and relevance of recalled results meet expected 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.