Data Characteristics of This Category
Core data for white goods comes from official product manuals, e-commerce platform parameter pages, after-sales ticket repositories, and brand official marketing material libraries. Full document batches are updated when new products launch. Daily updates only cover parameter tweaks and promotional information changes. Each product corresponds to multiple documents, including fields such as model identifier, rated power (unit: W), volume (unit: L), energy efficiency rating, installation dimensions, function descriptions, and user review keywords. Some documents are multi-page PDFs, with wide variation in content length.
Constraints for Model Integration and Configuration
White goods data includes parameter fields with fixed units, so models must strictly match field formats during calls to avoid parameter confusion. The structure of multiple documents per single product requires knowledge base retrieval to cover core information across all documents, avoiding missing key selling points. The relatively high update frequency requires configuring a scheduled synchronization mechanism to maintain knowledge base content timeliness. The mix of long documents and short copy requires adjusting parsing and chunking parameters to balance context completeness and retrieval efficiency.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | White goods product documents often include long parameter descriptions and function explanations. Chunks that are too long will lose contextual connections, while chunks that are too short will damage parameter integrity |
| Retrieval Top K | 6–8 results | Core parameters and marketing points for a single white goods product are scattered across multiple documents. Sufficient retrieval volume is needed to cover complete information |
| Similarity Threshold | 0.72–0.78 | This balances precise matching of product parameters and scenario relevance to user queries, avoiding retrieval of irrelevant documents for older product models |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Some product manuals are multi-page PDFs, which take longer to parse. The default timeout is insufficient for complete parsing |
toolChoice | auto | Automatically select whether to call the knowledge base or tools based on marketing content generation requirements, adapting to parameter calls for different scenarios |
SYNC_INTERVAL_HOURS | 24 hours | New white goods product launches follow a fixed schedule, and daily parameter tweaks are frequent. Daily synchronization ensures knowledge base content timeliness |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- When calling a custom model interface via the content extraction node, an error indicating the interface is not supported is displayed. This occurs because custom model access permissions are not enabled in system configuration, and the enabled status of the
toolChoiceandfunctionCallparameters is not correctly configured. - When creating a knowledge base, a locally deployed model accessed via oneapi cannot be selected. This occurs because the model identifier is not correctly added to
config.json, or the oneapi model list has not been synchronized to the system configuration. - Runtime exceptions occur when calling CosyVoice2-0.5B, while whisper-large-v3-turbo functions normally. This occurs because xinference V1 has compatibility issues with the CosyVoice2-0.5B interface.
How to Verify Successful Configuration
- Upload a white goods product manual PDF, and check that the parsed chunks fully retain parameters and function descriptions, with no obvious truncation or garbled text.
- Submit a query that includes product parameters, and check that the returned result correctly retrieves fields such as rated power and energy efficiency rating for the corresponding model, with matching that meets expectations.
- Check system logs to confirm that the status code returned when calling the custom model interface is 200, with no error prompts such as 401 or 404.
- Wait 24 hours, and check that the latest product marketing materials have been automatically synchronized to the knowledge base, confirming that the scheduled synchronization function operates correctly.
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.