What data for this category looks like
E-commerce service data mainly comes from e-commerce platform open APIs, third-party compliant monitoring tools, and due diligence materials submitted voluntarily by merchants. Data update frequencies fall into three categories: basic product information is synchronized daily, transaction and review data is updated hourly, and compliant qualification files are only updated when merchants submit changes. Each due diligence dataset document is organized around a single merchant, with a structure containing four modules: merchant main body information, product list, transaction details, and user review tags. Fields include product ID, listing time, 30-day sales volume, customer unit price, compliant qualification number, with units being string, ISO format timestamp, piece, yuan, and string respectively.
What constraints these characteristics impose on the citation sources and traceability link
The multi-source nature of e-commerce service data requires the traceability link to mark data collection channels, to avoid confusing official platform data with third-party monitoring data. Hourly updated transaction data requires limiting the time interval during recall, to ensure the timeliness of cited content. The single-document-per-merchant structure requires traceability fields to be bound to merchant main body identifiers and unique product IDs, to avoid mixing data across merchants. The one-time update characteristic of compliant qualification files requires traceability to retain the original submission timestamp, and prevent overwriting historical traceability records with subsequent synchronized data.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall_top_k | Top 8-12 entries | E-commerce due diligence data has a large number of entries. This value range can cover core compliant, transaction, and review information within the context window limit |
similarity_threshold | 0.75-0.85 | E-commerce data fields have high similarity, such as product names and qualification numbers. This interval can filter irrelevant recall results while retaining matching valid data |
source_reference_enable | Enabled | Data collection channels must be clearly marked, distinguish official e-commerce platform data from voluntarily submitted merchant qualification files, to meet due diligence traceability requirements |
parse_chunk_size | 800-1200 characters | E-commerce due diligence documents contain long-text transaction details and review tags. This segment length can retain field relevance, avoiding loss of traceability associations after splitting |
file_duplicate_strategy | Deduplicate by file hash | E-commerce due diligence files are mostly batch updates from the same merchant. Deduplicating by hash can accurately identify duplicate uploaded files of the same version, while retaining transaction data from different time intervals |
context_window_limit | 6000-8000 characters | Citation traceability information occupies context space. This interval can accommodate both due diligence content and complete traceability fields, avoiding truncation of key identifiers |
The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Phenomenon: When uploading 100 e-commerce due diligence files in batch, nearly half of the files show training exception status. Cause: The
file_upload_max_sizeparameter is not configured. Some compliant qualification files exceed the single-file upload limit, causing training to interrupt. - Phenomenon: After switching the AI conversation component to variable reference mode, the temperature setting button disappears, and generation parameters cannot be adjusted. Cause: The
temperature_override_enableconfiguration item is not enabled in variable reference mode, causing the parameter setting entry to be hidden. - Phenomenon: The
{{id}}field displayed in cited content is empty, making it impossible to locate specific traceability data. Cause: Thesource_idplaceholder is not configured in the knowledge base reference template, and no product ID or merchant main body identifier is bound as the unique traceability identifier.
How to confirm configurations are set correctly
- Upload a single e-commerce due diligence file, view the segmented content after parsing by the knowledge base, and confirm that the segment length matches the configured
parse_chunk_sizerange. - Initiate a query containing product keywords, view the number of recall results, and confirm that it matches the value of
recall_top_k. - Check the traceability tags in the cited content, confirm that they include data source, collection time, and unique identifier fields.
- Upload two e-commerce due diligence files with identical content, check whether the knowledge base automatically deduplicates, and confirm that the deduplication strategy is effective.
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.