What the data for this category looks like
Textile manufacturing research report data mainly comes from China National Textile and Apparel Council industry operation data, securities firm industry research reports, General Administration of Customs import and export statistics, yarn and fabric price index platforms, and listed company regular announcements. Data update cycles cover weekly (price data), monthly (industry supply and demand), quarterly (securities firm research reports), and real-time (policy announcements). Document structures include overall industry overview, capacity and production data for segmented categories such as cotton spinning, chemical fiber, home textiles, cost breakdown, export trade data, relevant policy trends, and more. Fields include capacity units "10,000 spindles", "10,000 meters", price units "yuan/ton", "USD/yard", as well as report publishing institution, publication date, covered segmented category names, and other relevant details.
What constraints do these characteristics impose on the knowledge base retrieval and reranking stage
Multi-source, multi-structure data requires the retrieval system to support a hybrid retrieval mode combining structured field precise matching and unstructured text semantic recall. Frequently updated weekly and monthly data requires regular incremental index triggers to avoid resource consumption caused by full reconstruction. Long text paragraphs contain compact supply and demand data and professional terminology, so reasonable segmentation granularity must be controlled to retain context association. Multi-field professional terminology systems require clear specification of retrieval scope to prevent recalling irrelevant content from other apparel segmented categories.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Textile manufacturing research reports contain large numbers of tables and long text paragraphs, with longer parsing time than general documents |
Segment Length | 800–1200 characters | Supply and demand data paragraphs in textile research reports are compact. Excessively long segments will lose context association, while excessively short segments will damage the semantic integrity of professional terminology |
Recall Count | Top 8–12 results | There are many segmented categories in the textile manufacturing industry, so relevant research report content across multiple tracks must be covered to avoid missing key information |
Similarity Threshold | 0.72–0.80 | There are many professional terms in the textile industry, so a higher threshold is needed to filter irrelevant general apparel research report content |
UPLOAD_FILE_MAX_SIZE | 2000 MB | A single research report collection may contain reports from multiple segmented categories, with larger file size than general documents |
Incremental Update Trigger Threshold | 10% new document proportion | Industry data has a high update frequency, triggering incremental updates based on new document proportion is more efficient than fixed cycles |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Issue: QA split file collection index created via OpenAPI is too slow. Cause: The
segment lengthparameter was not adjusted. Too small split segments lead to excessive index entries, increasing retrieval overhead. - Issue: Uploading a research report collection returns
upstream connect error. Cause: TheUPLOAD_FILE_MAX_SIZEparameter was not adjusted. The uploaded file size exceeds the default limit, triggering upstream connection interruption. - Issue: Recall results include irrelevant content from non-textile manufacturing categories. Cause: Retrieval fields were not specified as the exclusive capacity and price fields for textile manufacturing, leading to recall of research reports from other apparel segmented categories.
How to confirm configurations are properly set
- Upload a test textile manufacturing research report, check the number of parsed segments to confirm the segment length meets the configured requirements.
- Initiate a retrieval request for textile manufacturing professional terminology, check the response time of returned results to confirm compliance with business time standards.
- Retrieve professional terms for specific segmented categories, check the relevance of recall results to confirm the similarity threshold and recall count configurations are reasonable.
- Upload a research report collection exceeding the default volume, confirm the upload request can be completed normally to verify the file size limit configuration is effective.
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.