What this category's data looks like
Footwear investment research data mainly comes from brand public financial reports, quarterly reports from global footwear industry associations, cross-border e-commerce sales monitoring platforms, supply chain upstream and downstream quotation ledgers, and patent public databases. Update cadence varies by source: brand financial reports update quarterly, industry reports update monthly, e-commerce sales data syncs daily, and patent data updates in real time as it is publicly released. Document structure includes four categories: single SKU parameter details, quarterly sales review documents, supply chain cost breakdown tables, and patent application texts. Fields include SKU number, upper material, sole material, recommended retail price, inventory turnover cycle, and patent application number. Corresponding units are none, text, text, CNY, calendar day, and standard patent identifier respectively.
What constraints do these characteristics impose on the citation source and traceability link?
Footwear investment research data comes from multiple sources with significantly different update cadences. Brand financial reports update quarterly, while e-commerce data syncs daily. The citation traceability link must mark the collection time and source type of each retrieved fragment. This avoids investment research bias caused by mixing cross-cycle data. Single SKU parameter details contain multiple types of fields and units. Traceable fragments must fully retain the original fields and their corresponding units, to prevent conclusions with mixed units. Real-time e-commerce data may not be fully archived on the same day. Traceability must mark the data collection time window to clarify data validity. Patent documents must be associated with patent numbers, to ensure traceability can directly jump to the official public database. Differences in the structure of different document types require unified fragment extraction rules, to ensure consistency in the format of traceable fragments.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
retrieval count | top 6-8 | Footwear investment research data mostly consists of detailed SKU entries, with moderate information per fragment. 6-8 entries can cover core investment research dimensions while avoiding redundancy |
similarity threshold | 0.72-0.80 | Footwear SKU parameters have many similar materials and styles. A threshold that is too low will retrieve irrelevant fragments, while a threshold that is too high will miss valid detailed segment data |
chunk length | 800-1200 characters | Footwear documents contain detailed content combining multiple fields. This chunk length can retain complete fields and unit information, avoiding damage to data integrity from improper splitting |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Some supply chain ledger documents contain a large number of SKU details, with long parsing times. 120 seconds ensures complete parsing of long documents |
citation source display format | retain original fields + collection time | Meets the marking requirements for footwear data traceability, facilitating subsequent verification of data sources and timeliness |
maxContext | 18000 characters | Footwear investment research documents have many fragments. This length can carry sufficient traceability information, avoiding loss of traceability markers due to context overflow |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: After adjusting the
maxContextparameter to a larger value, the generated result does not display any citation sources. Cause: The overly large context window causes the system to fail to match the preset citation marker trigger rules, or the timestamp of the retrieved fragment is not correctly embedded into the context. - Symptom: Citation traceability displays normally during local testing, but the citation field is empty after external API calls. Cause: The external call did not enable the
enable_citationparameter, or did not pass the associated permission configuration of the knowledge base. - Symptom: The parsed traceable fragment loses field units. Cause: The chunk length is set too small, truncating the trailing content of the field containing units during splitting, or the parsing rule is not configured to retain original field metadata.
How to confirm the configuration is correct
- Run a parsing test for a single SKU document, and check whether the parsed fragments contain complete field and unit information.
- After adjusting the
retrieval countparameter, check whether the number of retrieval results meets expectations, and each fragment is marked with a source tag. - Call the external API interface, verify that the returned results contain the
citationsfield and that the field content is consistent with the local test. - Simulate cross-cycle data queries, and check whether the collection time marker of the traceable fragment matches the update cadence of the data source.
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.