What the Data for This Category Looks Like
Knowledge base data for kitchen and bath appliances comes from official product parameter libraries of partner brands, marketing material libraries of financial institutions, after-sales archived documents, and compliance standard files. Data updates are triggered by new product launches from partner brands, adjustments to home furnishing marketing campaigns, and updates to energy efficiency compliance standards. There is no fixed update cycle. Document structures primarily use structured parameter tables, paired with unstructured marketing copy, installation guides, and product diagrams. Fields include product model, core performance parameters, cooperative promotion information, installation specifications, and marketing selling points. Units mostly use national standard metric units. For example, rated heat load uses kW, maximum air pressure uses Pa, and water tank capacity uses L.
What Constraints These Characteristics Impose on Knowledge Base Retrieval and Recall
The coexistence of structured parameters and unstructured marketing content requires retrieval and recall to balance accurate parameter matching, promotional offer information, and compliance requirements. Avoid returning only parameters or only generic copy. The lack of a fixed update cycle requires support for both incremental and batch update modes. This adapts to bulk material imports when new products or marketing campaigns launch, and partial modifications after compliance standard updates. The large number of high-definition diagrams embedded in documents increases parsing and chunk upload load. The system must have parsing capabilities compatible with multiple document types. Parameter units are unified across different products, but naming rules vary. Retrieval must include automatic unified unit verification to avoid matching failures due to different unit expressions. It must also adapt to compliance review requirements in financial scenarios, ensuring recommended content meets regulatory provisions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | Top 8 entries | The kitchen and bath appliance marketing scenario needs to cover three types of needs: parameter query, promotion recommendation, and installation guidance. 8 entries balances coverage and information density. |
similarity threshold | 0.72–0.78 | Kitchen and bath product parameters have high accuracy requirements. A threshold that is too low will introduce parameters from unrelated models. A threshold that is too high will miss content that matches scenario-based copy. It must also comply with compliance requirements for financial marketing. |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Installation guides for kitchen and bath products often contain multi-page graphic content. 900 seconds covers the complete parsing process, avoiding parsing interruptions due to timeouts. |
UPLOAD_FILE_MAX_SIZE | 2000 MB | High-definition product catalogs and installation diagrams for kitchen and bath products have large individual file sizes. 2000 MB covers the size requirements of most commercial materials. |
chunk length | 1000–1200 characters | Kitchen and bath product parameters are mostly short entries, while marketing copy is mostly coherent paragraphs. This chunk length preserves parameter integrity and copy context. |
rerank return count | Top 4 entries | Marketing scenarios prioritize displaying highly matched core selling points and parameters. 4 entries adapts to the display length of most conversation windows, avoiding information overload. |
The parameter values provided on this page are common recommendations, used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing values.
Three Common Mistakes
- Phenomenon: When calling the knowledge base with a strict question-and-answer template, a "no answer found" prompt appears after retrieving documents containing image addresses. Reason: The strict question-and-answer template only matches text-based question-and-answer pairs, and cannot parse non-text content such as image addresses, leading to matching failures.
- Phenomenon: An error prompt for incorrect configuration appears after passing knowledge base-related parameters during API calls. Reason: The knowledge base global variable was not bound correctly, or the passed knowledge base ID format does not meet the platform's required specifications. This prevents compliant marketing content in financial scenarios from being correctly retrieved.
- Phenomenon: An "offset out of range" error appears when uploading large-size PDF knowledge base files, after the upload progress reaches 90%. Reason: When uploading large files in chunks, the chunk verification logic does not adapt to the large number of high-definition images embedded in kitchen and bath product documents, leading to abnormal chunk offset calculations.
How to Confirm Proper Configuration
- Upload a large-size document containing embedded high-definition images, and check that the parsing process completes fully without error prompts.
- Initiate a test query that includes product parameters and marketing copy, and verify that the returned results cover both performance parameters and scenario-based marketing content.
- Call the API with the knowledge base identification parameter, and check that the returned results include document fragments from the bound knowledge base, with no permission or non-existent error prompts.
- Switch between different interaction templates to initiate queries, and verify that non-text documents are processed correctly, with no "no answer found" prompts.
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.