Data Characteristics for This Footwear Category
Footwear financial report data primarily comes from periodic reports of listed companies disclosed by domestic and overseas stock exchanges, annual or quarterly operating announcements officially released by enterprises, and publicly available channel monitoring data from industry associations. Update cadence: Quarterly reports are updated every 3 months. Annual reports are updated once per year. Some operating data for direct-operated or franchise channels is updated monthly. Document structures typically include modules such as revenue breakdown details, supply chain cost composition, store operating data, and core SKU sales performance. Fields include per-store sales efficiency, raw material procurement proportion, SKU inventory turnover days, and some cross-border footwear enterprises also include exchange rate-related data for foreign currency settlement.
Constraints Imposed by These Characteristics on Citation Traceability
The multi-dimensional breakdown attribute of footwear financial reports requires that citation traceability accurately match corresponding segments of segmented modules such as revenue, channels, and supply chains. This prevents irrelevant data across categories or cycles from being retrieved. Data sources with different update cadences (quarterly reports, monthly channel data) require separate configuration of update frequencies. This prevents expired data from being called. Measurement standards for specific fields (such as the unit of per-store sales efficiency) require synchronous labeling of the corresponding data dimension during traceability. This avoids ambiguity. Exchange rate data for foreign currency settlement from cross-border footwear enterprises also needs to be linked to exchange rate disclosure announcements. This increases the complexity of multi-source associated traceability.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
quote_template | {{content}}\n\n> Source: {{source}}, Publish Time: {{publish_time}}, Report Cycle: {{report_cycle}} | Footwear financial reports have multi-cycle and multi-segment data. Clear labeling of report cycle and source is required to avoid ambiguity |
recall_top_k | Top 6 entries | Footwear financial report breakdown dimensions include revenue, channels, supply chains and more. Sufficient recalled segments are needed to cover each segmented module |
similarity_threshold | 0.75–0.85 | Footwear financial reports have many segmented fields. Higher matching precision is needed to accurately locate content from corresponding modules |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Footwear financial reports contain large amounts of detailed data, leading to long parsing times. Extended timeout values are needed to prevent parsing interruptions |
max_context | 4000–6000 characters | Enough context must be retained to clarify which segmented financial report module a segment belongs to. This avoids traceability ambiguity caused by missing context |
re_rank_top_k | Top 3 entries | The most relevant traceability segments are filtered to reduce interference from redundant information on responses |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- No citation source displayed at the end of answer paragraphs. Cause: The citation format at the end is not configured in
quote_template, or a version that does not support custom citation templates is used. - 504 timeout error occurs when parsing footwear financial reports. Cause: The value set for
PARSE_FILE_TIMEOUT_SECONDSis lower than actual parsing time, without accounting for the large amount of detailed data contained in footwear financial reports. - Recalled traceability segments include outdated data across cycles. Cause: Different update cycles for different data sources are not configured separately, leading to recalled expired channel monitoring data.
How to Verify Correct Configuration
- Upload a quarterly financial report document from a listed footwear company, submit a query that includes questions about segmented modules, and check if the source, publish time and report cycle are displayed at the end of the answer.
- Adjust the value of
similarity_threshold, compare recalled segments under different values to confirm they accurately match corresponding segmented modules of the financial report, and verify that matching precision meets requirements. - Upload multiple footwear financial report documents from different cycles, submit a cross-cycle query, and check if recalled segments are only associated with content from the corresponding report cycle.
- Check system logs to confirm that parsing time for financial reports does not exceed the value set for
PARSE_FILE_TIMEOUT_SECONDS, with no parsing timeout errors.
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.