What the Data for This Category Looks Like
Condiment research report data primarily comes from brokerage consumer team research reports, terminal sales monitoring databases, and public reports from industry associations. Update cycles align with brokerage report releases and terminal monitoring cycles, with incremental updates on workdays. Each research report document includes fields such as core category SKU codes, unit price per ton, terminal sales rate, and competitor market share. Some cross-data-source data has unit differences: for example, some reports list unit price as yuan/kilogram, others as yuan/jin. Documents mostly contain structured tables and unstructured analysis content, with overall length varying widely.
Constraints Imposed on Tool Calling and Plugins By These Characteristics
First, precise fields require tool calling to support field-level matching. Full-text retrieval alone cannot cover granular needs like SKU or unit price per ton. Second, frequently updated data sources require plugins to use incremental pull logic. This avoids resource waste from full synchronization. Third, cross-data-source unit differences require a standardization step before tool calling. This ensures numerical data from different sources can be compared uniformly. Fourth, wide variation in research report length requires tool calling to support content truncation and segmented recall. This prevents overly long content from exceeding context window limits.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall count | Top 10 | Condiment research reports have many granular fields. Excessive recall increases context processing load |
Similarity threshold | 0.75-0.85 | Precise matching of core fields such as SKU and unit price per ton is required. This avoids retrieving irrelevant content |
Rerank result count | Top 3 | Research report content is lengthy. Only the most relevant core conclusions need to be retained after reranking |
Tool Call Timeout | 600 seconds | Some terminal sales data interfaces have long response cycles. Sufficient processing time must be reserved |
Incremental sync interval | 1 hour | Sales data in the condiment industry is updated frequently. Latest content must be synchronized in a timely manner |
Field Standardization Toggle | Enabled | Units and field names vary across data sources. Standardization improves retrieval accuracy |
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 targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Tool calls do not prioritize knowledge base matching content as configured. Cause: The
Tool Call Trigger Conditionconfiguration is not set, and priority logic between knowledge base matching and tool calls is not distinguished. - Phenomenon: GPU memory usage rises continuously to 6-7GB when calling the
bge-rerankermodel, and usage appears on every GPU. Cause: The model quantization switch is not enabled, and the number of concurrent calls per GPU is not limited. - Phenomenon: Tool call return results have messy field formats. Cause: The
Field Standardization Toggleis not enabled, and units and field names from different data sources are not unified.
How to Confirm Proper Configuration
- Check tool call logs to confirm that each call correctly pulls research report data from the corresponding data source.
- Test the matching workflow: confirm that knowledge base results are returned first when matching content exists in the knowledge base, and tool calls are triggered and return specified content when no matches exist.
- Check GPU resource monitoring to confirm that memory usage remains within a stable range during model calls.
- Verify the incremental sync task to confirm that newly published research reports are synchronized to the knowledge base within the set interval.
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.