What the data for this category looks like
Data sources for footwear financial reports include public periodic reports of footwear enterprises, internal operational documents of brands, and disclosure documents from supply chain partners. Update cadence follows quarterly releases for quarterly financial reports, annual releases for annual financial reports, and temporary announcements are updated immediately alongside supply chain adjustments or channel changes. Document structures include revenue breakdowns (by footwear category, online/offline channels), inventory turnover data, SKU counts, raw material cost amounts, in-store sales per square meter, and similar content. Field units are as follows: revenue in yuan, inventory in pieces, turnover in days, and SKUs in count.
What constraints these characteristics impose on the knowledge base retrieval and recall workflow
Multi-source data requirements mean the knowledge base must support integration of multiple file sources, and cross-source field matching rules need to be configured. The high-frequency update cadence requires sync cycles to align with financial report release schedules to avoid data lag. The multi-dimensional field structure requires retrieval to support filtering by segmented dimensions to avoid retrieving irrelevant content. Multi-unit fields require retrieved results to retain original unit information to prevent unit confusion. Additionally, footwear financial reports have numerous segmented contents, so retrieval must accurately match field keywords, otherwise a large volume of redundant information will be returned.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall Count | Top 8-12 results | Footwear financial reports contain multi-segment dimension content; sufficient recall results can cover associated information across different fields |
Similarity Threshold | 0.75-0.85 | Fields in footwear financial reports differ significantly from those of other categories; a higher threshold prevents retrieving content from non-target categories |
Chunk Length | 800-1200 characters | Segmented data paragraphs in footwear financial reports are relatively long; this length preserves contextual associations between fields and avoids information fragmentation |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single complete footwear financial report document contains multi-quarter data, which takes longer to parse; this prevents mid-process interruptions |
Knowledge Base Sync Cycle | Quarterly + manual trigger | Footwear financial reports are updated on a fixed quarterly basis; temporary announcements require manual triggers for timely synchronization |
Reranked Return Count | Top 4-6 results | Retains the most relevant segmented field content, avoiding result redundancy that impairs readability |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and testing on one’s own samples is recommended before finalizing settings.
Three common mistakes
- Phenomenon: After uploading footwear financial report documents, the knowledge base shows "ready" but no matching results are returned. Cause: Chunk length was not configured correctly; overly short chunks break the contextual association of segmented fields, causing the retrieval engine to fail to recognize complete field information.
- Phenomenon: When searching for footwear financial report keywords, non-footwear category financial report content is returned. Cause: The similarity threshold was set too low, expanding the recall scope to other textile and apparel categories or cross-category financial report data.
- Phenomenon: When two consecutive queries with different segmented dimensions are made, the subsequent query incorrectly calls another brand's footwear knowledge base. Cause: No knowledge base binding logic for conversation context was configured, causing the session to always use the knowledge base initially called.
How to confirm the configuration is correct
- Upload a single quarterly footwear financial report document, wait for parsing to complete, then search for "Q3 online channel revenue" and verify that the returned results include the specific numerical value and original unit of the corresponding field.
- Adjust the similarity threshold to the set range, then search for cross-category keywords such as "electronic product revenue" and confirm that no relevant results are returned.
- Set a scheduled sync task, wait for the sync cycle to end, then search for keywords from the latest financial report and confirm that the returned content includes updated field data.
- Initiate two consecutive queries with different segmented dimensions, such as first searching for "inventory turnover days" and then searching for "children's footwear revenue amount", and confirm that both calls use the currently configured footwear financial report knowledge base.
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.