What the data for this category looks like
Data for apparel and home textiles industry research reports comes from three main sources: official statistics from the China National Garment Association and China Home Textiles Association, regular announcements of listed apparel and home textiles enterprises, and terminal sales data from third-party consumer monitoring institutions. Regular reports are released quarterly. Special research documents are added after major industry milestones, such as autumn and winter ordering meetings and off-season promotion cycles. A single research report typically includes these sections: overall industry supply and demand overview, production and sales data for segmented categories, online and offline channel proportions, dynamics of leading brands, and associated analysis of upstream raw material prices. Standard fields within reports include category name, production and sales scale unit, and year-over-year change marker. Fabric data is measured in 10,000 meters. Terminal apparel products are measured in 10,000 pieces. Home textiles suite products are measured in 10,000 sets.
Constraints on citation traceability
The multi-source, dispersed nature of apparel and home textiles research reports requires citation traceability links to bind unique identifiers. These identifiers include official release numbers for association reports, and security codes and announcement numbers for listed enterprise announcements. This avoids confusion of data with the same name from different sources. The mixed release rhythm of regular quarterly reports and special research documents requires the traceability system to automatically recognize document release timestamps. It then filters expired data beyond the business cycle. The document structure includes many segmented categories and varying units. Traceability fields must carry specific category names and measurement units, to avoid citation deviations caused by mixed use of units such as 10,000 meters, 10,000 pieces, and 10,000 sets. Additionally, research reports contain a significant share of upstream raw material associated analysis. The traceability link must mark the specific segment the data belongs to, to ensure strict correspondence between cited production and sales data and raw material analysis.
Configuration Settings
| Configuration Item | Recommended Value | Rationale | |||
|---|---|---|---|---|---|
retrieve_top_k | Top 8-12 entries | The apparel and home textiles research reports have many segmented categories, requiring sufficient recall to cover segmented dimensions, while avoiding excessive redundant information that interferes with traceability | |||
chunk_size | 800-1200 characters | Apparel and home textiles research reports often contain long paragraphs of production and sales data. Excessively long segments will lose contextual association, while excessively short segments will split complete unit and category fields | |||
source_cite_format | `{doc_title} | {publish_time} | {doc_source} | {category_field}` | Four core traceability fields must be included: research report title, release time, source institution, and segmented category, to match the multi-source and multi-dimensional characteristics of industry data |
filter_expired_days | 180 days | The apparel and home textiles industry has cyclical characteristics. Research report data older than six months has insufficient timeliness, so expired documents must be automatically filtered | |||
parse_metadata_fields | Category Name, Unit of Measurement, Release Cycle | The core traceability fields of apparel and home textiles research reports are segmented category, measurement unit, and applicable cycle, which must be automatically extracted during parsing | |||
rerank_top_n | Top 5 entries | After re-ranking, the top 5 most relevant traceability data are retained, ensuring citation accuracy while preventing dialogue content from becoming overly lengthy |
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, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Phenomenon: Only citation lists are returned after retrieval, with no corresponding answer content. Cause: Core data fields required for answer generation are not configured, or extracted metadata does not include valid business information from the research report. This prevents the AI from generating a complete answer based on traceability data.
- Phenomenon: Code execution errors occur after calling a plugin in the workflow, returning
400 Bad Request. Cause: Metadata fields required for traceability are not passed as required, such as failing to include品类名称or计量单位. This leads to parameter verification failure. - Phenomenon: Recalled research report data does not match the segmented category of the current query. Cause: Category verification for metadata fields is not enabled, or the value of
retrieve_top_kis too large. This leads to recall of research reports from unrelated segmented categories.
How to confirm proper configuration
- Upload one apparel and home textiles industry research report. Check the parsed metadata panel to confirm that preset metadata fields have been correctly extracted.
- Initiate a query targeting a specific segmented category. Verify that the returned citation list format matches the preset
source_cite_format. - Manually upload an old research report released more than six months ago. Confirm that the system automatically excludes it from the recall range.
- Adjust the value of
retrieve_top_k. Initiate multiple queries to confirm that the number and relevance of recall results meet expectations.
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.