What this category’s data looks like
Consumer electronics due diligence data primarily comes from supply chain management systems, third-party quality inspection institution reports, SKU basic parameter libraries, and after-sales traceability databases. Update rhythms adjust alongside new product launches, quarterly quality inspections, and after-sales feedback, with no fixed unified update cycle. Single documents contain both structured fields and unstructured content. Structured fields include IMEI codes, batch numbers, supplier names, compliance inspection items such as RoHS and CCC certification status, with units like milliampere-hours, pixels, grams, watts, and others. Unstructured content includes batch quality inspection details and supply chain chain descriptions. Common document formats are Excel spreadsheets, PDF inspection reports, and structured JSON export files.
What constraints do these characteristics impose on the "citation sources and traceability" link?
The multi-source, heterogeneous nature of consumer electronics data requires the traceability link to accurately match unique identifier fields such as IMEI codes and batch numbers, to avoid incorrect cross-SKU associations. The non-fixed update rhythm means full synchronization on a fixed cycle cannot be relied upon; incremental synchronization for new product documents and quality inspection reports must be supported. Document structures vary widely, ranging from short SKU parameter tables to dozens of pages of quality inspection reports. Segmentation and retrieval strategies must be adapted to different content lengths. Field units are diverse and easily confused, such as mixed use of milliampere-hours and watt-hours. The traceability link must verify the correspondence between fields and units to prevent parameter errors in cited content.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall_top_k | Top 10-15 entries | Consumer electronics SKU data has many fields and close associations. Sufficient retrieval entries can cover multi-dimensional information such as batches, compliance items, and supply chains |
similarity_threshold | 0.75-0.85 | Consumer electronics rely on unique identifiers such as IMEI codes and batch numbers. This threshold filters low-matching irrelevant SKU documents |
rerank_top_n | Top 3-5 entries | Prioritize returning high-value cited content such as compliance inspections and supply chain traceability, reducing redundant information in due diligence reports |
chunk_size | 800-1200 characters | Adapts to the long paragraph structure of consumer electronics quality inspection reports, avoiding segmentation that destroys key associated information such as batch numbers and inspection items |
incremental_sync_cron | 0 2 * * 0 | Matches the monthly cycle of consumer electronics new product launches. Automatically synchronize new documents every early morning on Sunday, avoiding overly frequent overwrites or synchronization delays |
reference_include_field | Enabled | Unique fields such as IMEI codes and batch numbers must be displayed to clearly identify the data source fields corresponding to cited content |
The parameter values provided on this page are all conventional recommendations used to determine the starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Phenomenon: The returned citation is not the document matching the target SKU in the knowledge base, but instead displays irrelevant content ranked first overall. Cause: The
source_field_matchconfiguration is not enabled. Retrieval is based only on global text similarity, with no binding to the unique identifier fields exclusive to consumer electronics. - Phenomenon: The citation results returned via API calls do not include source file names and corresponding field information. Cause: The
reference_include_filenameconfiguration item is not enabled. By default, only text fragments are returned, with no association to the full path and name information of the source file. - Phenomenon: The citation content output by the large model cannot be associated with documents for multiple SKUs or batches, and the accuracy of compliance items in the citation content is not verified. Cause: Multi-field retrieval and field verification rules are not configured. Only single-variable matching is supported, making multi-variable citations impossible, and automatic verification of the field accuracy of cited content is not performed.
How to confirm the configuration is correct
- Upload a consumer electronics quality inspection report and SKU parameter table containing IMEI codes and batch numbers, initiate a due diligence query for a specific SKU, and check whether the returned citation list is displayed grouped by document type.
- Call the API to obtain citation information, confirm that the returned results include source file names, corresponding field names, and unit information.
- Modify
similarity_thresholdto 0.9, initiate a query for a specific batch number, and verify that only precise documents matching that batch number are retrieved. - View the incremental sync task log to confirm that new consumer electronics product documents and updated quality inspection reports are automatically synchronized every week.
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.