What the data for this category looks like
The data for jewelry intelligent due diligence reports mainly comes from brand SKU ledgers, test reports issued by third-party quality inspection institutions, supply chain raw material purchase vouchers, and production traceability archives. Data updates are triggered when new products launch. There is no fixed cycle for quality inspection review updates of existing SKUs. Each report corresponds to a single SKU. The document structure includes four modules: basic attributes, quality inspection parameters, traceability information, inventory and pricing. Fields include material (text format, such as 999 pure gold, 925 silver), weight (unit: gram), gold content (unit: ‰), nickel release amount (unit: μg/cm²/week), raw material batch number (string format), and inventory quantity (unit: piece).
What constraints do these characteristics impose on the model access and configuration workflow
Jewelry data includes multimodal quality inspection report images and physical product images. Model access must support multimodal input to parse non-text quality inspection parameters. Fields have strict unit and precision requirements. For example, gold content uses ‰ as its unit, and nickel release amount uses μg/cm²/week as its unit. Field extraction rules for the model must be configured to match these unit formats. Each report corresponds to exactly one SKU, so chunking parameters must be configured to prevent information crossover across different SKUs. Data updates have no fixed schedule, so the system must support dynamic access to new documents to avoid information deviation caused by expired cached data.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MODEL_TYPE | Multimodal Large Model | Jewelry data includes quality inspection report images and physical images, requiring parsing of non-text quality inspection parameters |
MAX_IMAGE_SIZE | 10 MB | Jewelry quality inspection report images typically do not exceed 10 MB. Exceeding this size will cause parsing failures |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single jewelry due diligence report contains multimodal data and multiple fields, leading to long parsing times |
CHUNK_SIZE | 800–1200 characters | Fields for a single SKU report are concentrated. Excessively long chunking will lose context, while excessively short chunking will break field associations |
SIMILARITY_THRESHOLD | 0.85–0.9 | Jewelry fields have high unit and precision requirements, requiring strict matching of text features |
TOOL_CALL_ENABLED | Enabled | Multimodal model calls are required to parse images, and tool calls are needed to complete field extraction and verification |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material forms, 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 configuration mistakes
- Phenomenon: A 503 error is returned when calling the multimodal model:
No available channels for model yi-vl-plus under current group default. Cause: No available nodes for the corresponding multimodal model are added in the model channel configuration, or node resources are exhausted. - Phenomenon: Extracted jewelry material fields have incorrect units. For example, "999 pure gold" is recognized as "99.9% gold". Cause: No unit matching rules are configured for field extraction, and the model does not strictly follow the unit specifications for jewelry data.
- Phenomenon: The due diligence report parsing result contains information from multiple SKUs. Cause: Chunking parameters are set too large, causing document content across SKUs to be merged and parsed. Chunking thresholds are not configured according to the single-SKU document structure.
How to confirm the configuration is valid
- Upload the due diligence report and corresponding physical image for a single jewelry SKU. Check whether the fields returned by the model include all preset jewelry-specific fields, and adjust parameters until the fields fully match.
- Submit multiple jewelry reports made of different materials. Verify that the model identifies units consistently, and adjust the similarity threshold to meet unit matching requirements.
- Upload a report that exceeds the preset maximum image size. Confirm that the system triggers an upload block or prompt, and verify that the
MAX_IMAGE_SIZEconfiguration takes effect. - Simulate dynamic addition of SKU reports. Confirm that the system automatically triggers parsing, and there is no information deviation caused by cache delay.
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.