What the category’s data looks like
Data sources for footwear intelligent due diligence reports mainly include supplier qualification documents, production process standards, quality inspection reports, compliance certification archives, inventory ledgers, and supply chain collaboration documents. The update rhythm adjusts dynamically with supplier qualification changes, quarterly inventory checks, and annual compliance reviews. The structure of a single document usually includes fields such as shoe model, core material composition, production batch information, list of qualified quality inspection items, compliance certification number, and corresponding inventory quantity. Field units are mostly material category names, size ranges, batch numbers, quantities, and similar items.
What constraints these characteristics impose on the knowledge base retrieval and recall link
The structured fields and category-specific attributes exclusive to footwear require that retrieval prioritize exact matches for precise fields such as materials, sizes, and certification numbers. General full-text search is not used as a primary matching method. The dynamically updated data source feature requires that the recall logic support filtering invalid old versions by document update time, to avoid using expired compliance information in due diligence reports. The structure of a single document often contains parameters for multiple shoe models, requiring chunking to bind the shoe model as a context anchor, to prevent recalled fragments from mismatching their corresponding shoe models. The high-priority requirement for compliance-related fields requires setting higher weight thresholds for certification numbers and quality inspection qualified items during retrieval.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | Top 6-10 | Footwear due diligence reports need to cover multi-dimensional parameters including materials, compliance, inventory, etc. Too many results will cause redundant context, while too few will miss key information |
similarity threshold | 0.72-0.85 | Most footwear fields are category-specific parameters that require exact matching. A threshold that is too low will retrieve irrelevant documents, while a threshold that is too high will miss some similar compliance documents |
chunk length | 800-1200 characters | A single footwear document often contains parameters for multiple shoe models. Chunks that are too long will mix in information from unrelated shoe models, while chunks that are too short will destroy the contextual integrity of fields |
field weight configuration | certification number:1.5, quality inspection qualified items:1.3, material composition:1.0 | Compliance and quality inspection information are core to due diligence, so the retrieval weights of corresponding fields need to be increased |
incremental update trigger rule | Triggered by file modification time | Updates to footwear qualification documents and inventory ledgers are primarily based on modification time, which ensures that the latest versions are recalled |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Some footwear quality inspection reports are multi-page PDFs, which take longer to parse. A timeout will cause document import to fail |
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 specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: When calling the knowledge base retrieval interface to return a document URL, clicking the URL prompts the error
Only support .txt, .m. Cause: The uploaded knowledge base document format does not match the parsing formats supported by the platform. Only files in specified formats can generate normally accessible preview links. - Phenomenon: After importing footwear documents, the retrieval results have low matching degree with due diligence requirements, and core parameters are not prioritized. Cause: Retrieval weights have not been configured for footwear-specific fields. General full-text search cannot prioritize core due diligence content such as compliance and materials.
- Phenomenon: When uploading a multi-page footwear quality inspection report, the interface returns a
400status code. Cause: ThePARSE_FILE_TIMEOUT_SECONDSconfiguration has not been adjusted, or theUPLOAD_FILE_MAX_SIZElimit has not been confirmed. Multi-page document parsing time exceeds the default threshold, or the uploaded file size exceeds the allowable range.
How to Verify Proper Configuration
- Upload a standard footwear quality inspection report, check the parsed chunked content, and confirm that each chunk is bound to the corresponding shoe model as a context anchor.
- Initiate a retrieval test, enter shoe material or compliance keywords, check the field matching order of the returned results, and adjust the field weight configuration until core parameters are prioritized.
- Modify an uploaded inventory ledger document, trigger incremental update, retrieve keywords for this document, and confirm that the returned content is the latest modified version.
- Call the retrieval interface to obtain the returned document URL, verify that the URL can be accessed normally without format 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.