What the data for this category looks like
The data for plastics and rubber financing daily reports primarily comes from commodity spot trading platforms, daily statistical data from industry associations, and customs import and export clearance records. Full synchronization of the previous day’s data completes every early morning. Each daily report document includes fields such as the day’s spot average price for varieties, warehouse stock inventory, regional price spreads, financing demand declaration amount, and transaction subject filing information. The price unit is yuan per ton, the unit for warehouse receipts and inventory is ton, the financing amount unit is ten thousand yuan, and each document includes corresponding data items for 10 to 20 specific plastics and rubber varieties.
Constraints imposed on model access and configuration
The multi-variety document structure and multiple fields require enabling specified field filtering during vector recall to avoid recalling irrelevant category data. The daily update cycle requires configuring a scheduled synchronization task with a matching frequency to ensure knowledge base data timeliness. Clear unit-bound fields require retaining the association between numerical values and units when configuring parsing rules to prevent the model from generating incorrect unit descriptions. Each document includes multi-variety data, so segmentation rules must be configured to split independent segments by variety to avoid cross-variety context confusion. Additionally, the financing demand declaration amount is a core business field, so model configuration must specify priority recall of results related to this field to ensure output aligns with the financing daily report business scenario.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Recall Count | Top 8-12 entries | Each daily report includes multi-variety data; too many recalls will cause context overload, too few will fail to cover complete business requirements |
Similarity Threshold | 0.75-0.85 | Required to filter low-relevance cross-variety data, matches the segmented field characteristics of plastics and rubber categories |
Segment Length | 800-1200 characters | A single segment split by variety must include complete price, warehouse receipt, and financing amount fields to avoid information truncation |
Scheduled Synchronization Cycle | 1 time per day | Matches the daily update rhythm of plastics and rubber financing daily reports to ensure knowledge base data timeliness |
Vector Model Configuration | Calibrated based on actual testing | Must support long text parsing and multi-field vector encoding to adapt to the multi-variety, multi-field document structure |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Each daily report includes multi-variety data, resulting in long parsing duration; extended timeout is required to avoid parsing failures |
The parameter values provided on this page are conventional recommendations used as a starting point 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 Misconfiguration Scenarios
- Symptom: Knowledge base query steps return matching results, but no content is output when calling the model. Cause: No reasonable
Recall Countconfigured, or field filtering rules not enabled, resulting in recalled multi-variety data exceeding the model context window, making the model unable to generate valid output. - Symptom: Local testing functions normally, but knowledge base content cannot be referenced when calling via external release channels. Cause: No permission binding configured for the release channel, or the scheduled synchronization task has not been synchronized to the knowledge base replica in the release environment.
- Symptom: Vector model configuration fails after upgrading to a new version. Cause: The new version adjusted the configuration parameter entry for the vector model, the original configuration was not migrated to the new parameter items, or the API key validity of the model was not re-verified.
How to Confirm Successful Configuration
- Perform a single knowledge base recall test, verify the variety range and field completeness of the recall results, and adjust corresponding configuration items to values that meet business requirements.
- Trigger a scheduled synchronization task, check the knowledge base update log to confirm that data synchronization is completed and no parsing errors occur.
- Call the model to generate questions and answers related to financing daily reports, verify whether the output content includes correct units and field information, and adjust context configuration to optimize output effects.
- Switch to the release environment to perform the same test, confirm that knowledge base related content can be returned normally during external calls.
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.