What Data for This Category Looks Like
Footwear industry research report data mainly comes from the textile and apparel sector in securities firm financial industry research reports, textile and apparel sub-industry monitoring databases from professional financial terminals, and public financial reports of listed footwear brands. Update cycles vary by source: securities firm reports are released during earnings seasons, financial terminal monitoring data is updated monthly, and brand financial reports are disclosed quarterly. Most documents are in PDF or web format, and include fields such as sub-category shipment volume, raw material cost, channel revenue, inventory turnover, with units of ten thousand pairs, yuan/kg, ten thousand yuan, and days respectively. Some documents also include structured tables of upstream and downstream supply chains.
What Constraints Do These Characteristics Impose on Multi-turn Conversation and Prompt Engineering
There are many sub-categories in footwear industry research reports. In multi-turn conversations, the target sub-category must be consistently locked. Otherwise, the model may confuse supply and demand data for different footwear types. Data update cycles vary widely across sources. In multi-turn conversations, users must be guided to clearly specify the time range of the data, to avoid using outdated information. There are multiple types of field units. In multi-turn conversations, unit expressions must be unified, to prevent the model from giving replies with unit confusion. Some research reports include upstream and downstream supply chain data. Users must be guided to clearly state their query direction, to avoid returning irrelevant cross-linkage information.
How to Configure
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Single footwear industry research report is relatively long. Multi-turn conversations need to retain multiple rounds of context while avoiding window overflow |
recall count | Top 6–8 results | There are many sub-categories in footwear industry research reports. Too many recalled results will cause context redundancy, while too few will fail to cover relevant sub-category data |
similarity threshold | 0.72–0.78 | Footwear industry research reports contain a large number of specialized terms. A threshold that is too low will introduce irrelevant data, while a threshold that is too high will miss relevant research reports |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Some footwear industry research reports include a large number of structured tables, which take longer to parse |
rerank_top_n | Top 3–4 results | Retain the most relevant sub-category research report data after re-ranking, to improve reply accuracy |
system prompt template | Answer solely based on the provided footwear industry research report data, clearly indicate the publication time of the source research report, and uniformly use ten thousand pairs, yuan/kg, ten thousand yuan, and days as units | Footwear industry research reports have diverse units, so unified expressions are needed to avoid confusion, while also clarifying data timeliness |
The parameter values provided on this page are general recommendations that serve as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Multiple conversation node output results are displayed after the workflow is executed. Cause: No node output filtering rule is configured for the workflow, and only the output of the last node is retained.
- Phenomenon: After connecting to an external conversation channel, the reply content contains a large number of unrendered symbols such as # and *. Cause: No Markdown format filtering is configured for the reply content, and the channel cannot parse native Markdown syntax correctly.
- Phenomenon: In a local deployment scenario, image links uploaded to the knowledge base cannot be displayed in conversation replies. Cause: The image links are not configured as publicly accessible URLs, or the relevant switches for knowledge base image parsing are not enabled.
How to Confirm Proper Configuration
- Initiate more than two rounds of questions targeting different footwear sub-categories, and check whether the reply maintains consistent unit expressions and category locking.
- Check the reply content on external channels to confirm that no unrendered Markdown symbols are included.
- Call the conversation API and check whether the returned results include relevant identification fields referenced from the knowledge base.
- Upload a footwear industry research report file that includes images, initiate a conversation, and verify that the image links load correctly.
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.