What the Data for This Category Looks Like
The data sources for steel trade include internal enterprise inventory ledgers, daily updated product quotation sheets, industry guidance price documents, customized marketing script templates, and customer cooperation records. The data update rhythm varies significantly by type. Quotation sheets and inventory data receive daily updates. Industry guidance prices adjust in real time with market fluctuations. Marketing script templates receive updates as needed. Document structures primarily use structured tables, containing fields such as product name, specification, origin, weight, and unit price. Field units use industrial standard units like ton, yuan per ton, and millimeter. The length of a single document ranges from hundreds to thousands of characters.
Constraints Imposed by These Characteristics on Knowledge Base Retrieval and Recall
Structured multi-field documents require retrieval to support both full-text matching and precise field matching. This avoids recalling irrelevant content that does not match specifications or origins. Frequently updated quotation and inventory data require the knowledge base to support high-frequency incremental updates. This ensures the timeliness of retrieval results. Long single documents need to be split into reasonable segments. This prevents damage to field associations, while controlling the total context length of recalled content to adapt to model input limits. Marketing content oriented toward customer acquisition needs to prioritize recalling scripts and product combinations that fit target customer groups. It must also cover the basic needs of general product data.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Recall Count | Top 8-12 | Steel trade marketing requires covering multi-specification product combinations. Excessively many results will exceed the model context limit, while too few will fail to meet the information needs of customer acquisition scenarios |
Similarity Threshold | 0.72-0.85 | Specification matching for steel products requires high precision. A threshold that is too low will introduce mismatched competitor data, while a threshold that is too high will reduce valid recall results |
Maximum Segment Length | 800-1200 characters | Balance field integrity and context carrying capacity, avoiding loss of association information for product name, specification, and origin after splitting |
Incremental Update Interval | Once daily | Match the daily update rhythm of steel trade quotation and inventory data, ensuring knowledge base content is synchronized with business data |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Adapt to the parsing time of batch inventory ledgers and quotation sheets, avoiding timeout failures when parsing large files |
maxContext | 8000-12000 characters | Carry content from multiple recalled documents, meeting the context requirements of product combinations and script combinations in customer acquisition scenarios |
The parameter values provided on this page are 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 the settings.
Three Common Mistakes
- Symptom: The number of returned results when calling knowledge base retrieval is far lower than the configured
Recall Count. Cause: The field matching recall function is not enabled, and only full-text retrieval is used. This cannot accurately match structured fields such as specifications and origin in steel trade documents. - Symptom: The chat interface prompts that no knowledge base is selected, but retrieval works normally in debug preview. Cause: The
kbIdsparameter is not carried during external calls, or the parameter format does not meet interface requirements. The debug preview binds the platform's preset knowledge base by default. - Symptom: Expired historical quotation data appears in retrieval results. Cause: No expired data cleaning rule is configured for the knowledge base, or the incremental update task fails to execute normally. This results in old data not being replaced in a timely manner.
How to Verify Successful Configuration
- Upload a latest steel product quotation sheet, initiate a retrieval that includes the target product specification, and verify that the returned results contain the latest unit price information for this quotation.
- View the scheduled update logs of the knowledge base, and confirm that the daily incremental update task has been triggered and completed at the preset time.
- Initiate a retrieval that targets a specific customer group scenario, and verify that the returned results prioritize displaying marketing script templates matching that scenario.
- Call the external API to initiate a retrieval, and confirm that the returned results include complete
detailfield information that matches the original document content in the knowledge base.
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.