What This Category of Data Looks Like
Data sources for plastics and rubber financing daily reports include commodity industry information platforms, futures exchange warehouse receipt public announcement systems, and corporate financing filing data from local financial regulatory authorities. Full monitoring data for the previous trading day is updated once daily. Each data entry includes variety name, financing subject, financing balance, daily financing net inflow/outflow amount, corresponding warehouse receipt inventory, and spot benchmark price. Unified unit specifications: Financing balance and net inflow/outflow amount are measured in ten thousand yuan, warehouse receipt inventory is measured in tons, and spot benchmark price is measured in yuan per ton.
Constraints Imposed on Knowledge Base Retrieval and Recall
Daily updated full structured data requires an incremental synchronization mechanism. This avoids resource waste and data duplication caused by full uploads. The structure with multiple fields and clear units requires matching both field names and units during retrieval. Failure to do so will result in mixed data from different varieties sharing the same field. The binding relationship between financing subjects and varieties requires filtering recall results by business dimension. This prevents cross-variety data from being mixed together. The number of data entries increases as the number of monitored varieties grows. The number of recalled entries and context length must be controlled to avoid exceeding the model's processing limit. Structured data has strong field relevance. Complete field metadata must be retained during parsing. Missing metadata will prevent precise matching of business requirements during retrieval.
How to Set Configuration Parameters
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 200 MB | The single structured dataset for plastics and rubber financing daily reports usually does not exceed 150 MB, with reasonable buffer space reserved |
maxContext | 8000–12000 characters | Structured table data contains multiple fields, so sufficient context is required to cover complete business information |
Number of recalled entries | Top 6–8 entries | The valid data entries in a single daily report are usually 5–7, and too many entries will cause context redundancy |
Similarity threshold | 0.72–0.78 | Field matching for structured data requires high precision to avoid recalling financing data from unrelated varieties |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large daily report datasets requires long processing time to avoid mid-run timeout interruptions |
Incremental synchronization trigger rule | Triggered at 2:00 AM daily | Financing daily reports usually complete daily data aggregation before 1:00 AM, and scheduled synchronization ensures data timeliness |
The parameter values provided on this page are common recommended starting points for configuration. The 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 Misconfigurations
- Phenomenon: After uploading a structured table dataset, some field data is empty and the corresponding financing data is missing from retrieval results. Cause: The field auto-mapping switch for table parsing is not enabled, causing fields with non-standard column names to not be extracted correctly.
- Phenomenon: After configuring the tool workflow, the AI does not call tools before triggering knowledge base retrieval, or does not associate knowledge base results after tool calls. Cause: The knowledge base retrieval node is not configured as a required execution step of the tool workflow, causing a missing call link.
- Phenomenon: When the user's question does not match the financing daily report data in the knowledge base, the AI still returns a reference identifier for the knowledge base file. Cause: The switch to return knowledge base references when no matching results are found is not disabled, or the similarity threshold is set too low, causing low-match results to be forcibly returned.
How to Verify Proper Configuration
- Upload a test sample of plastics and rubber financing daily reports, check if the parsed field list includes the preset core business fields to confirm that the field mapping configuration is effective.
- Initiate a financing daily report query for a single plastics and rubber variety, verify that the number of recalled results falls within the configured recall entry range, and only includes data for the corresponding variety.
- Manually trigger an incremental synchronization task, check if the update time of the knowledge base matches the preset synchronization time to confirm that the scheduled synchronization configuration is effective.
- Initiate a test question that does not match the knowledge base, check if the AI does not return a reference identifier for the knowledge base file to confirm that the processing configuration for no matching results is correct.
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.