Tool Calling and Plugins for White Goods Marketing Content

Marketing-related data linking white goods to finance comes from three primary sources: official public product manuals from partner brands

What Data for This Category Looks Like

Marketing-related data linking white goods to finance comes from three primary sources: official public product manuals from partner brands, e-commerce platform detail pages, and home appliance-related material libraries from financial marketing centers. Updates are batched alongside new product launches. Standard parameters are adjusted alongside national energy efficiency standards, and marketing copy is updated periodically in line with financial marketing milestones.

Document structure falls into three categories: product basic parameter pages, scenario-based marketing copy, and after-sales FAQ. Fields include SKU number, rated power, average daily power consumption (unit: kWh/24h), body dimensions (unit: mm), target audience tags, and promotion node tags. All parameters use clearly defined legal or industry-standard units.

What Constraints These Characteristics Impose on Tool Calling and Plugins

Scattered data sources and diverse document types require configuring data source filtering rules during tool calling. This avoids retrieving irrelevant content from non-target categories and ensures compliance of financial marketing content.

Irregular update schedules and compliance-related parameters require the plugin to support scheduled synchronization and incremental update configurations. This maintains the timeliness and compliance of knowledge base content, and prevents financial marketing violations caused by expired parameters.

Document fields have clear units, so the tool calling process must retain field unit formats. This avoids unit errors in marketing content that could affect financial users' perception of product value.

Diverse document structures require configuring differentiated retrieval rules: set matching thresholds separately for product parameters and marketing copy, to improve the accuracy of financial marketing content.

How to Set Configurations

Configuration ItemRecommended ValuesRationale
maxContext800–1200 charactersWhite goods product parameter documents typically include long technical descriptions; values that are too long will exceed model context limits, while values that are too short will lose critical parameters
retrieval countTop 6–8 entriesThe number of associated documents (parameters, marketing copy, FAQ) for a single white goods product is moderate; too many entries will cause context congestion
similarity threshold0.75–0.85Precise matching of product models and marketing scenarios is required to avoid retrieving irrelevant documents from other categories
PARSE_FILE_TIMEOUT_SECONDS120 secondsSome white goods product manuals include high-definition images and tables, which require longer parsing time
PLUGIN_SYNC_INTERVALEvery 24 hoursNew products and marketing materials are updated daily or weekly; scheduled synchronization ensures the timeliness of knowledge base content
RETRIEVE_FILE_SOURCEOfficial documents and e-commerce detail pages onlyFilter non-compliant third-party content to avoid parameter errors in marketing content

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Errors

  • Phenomenon: When calling the knowledge base to generate marketing content, the returned <Reference> tags do not include matching white goods parameter documents. Cause: The RETRIEVE_FILE_SOURCE configuration to only retrieve official documents and e-commerce detail pages was not set, resulting in retrieval of irrelevant content from non-target categories.
  • Phenomenon: After using the Doc2x plugin to process uploaded white goods corpus, structured extracted energy consumption parameters lose unit information such as kWh/24h. Cause: The unit retention configuration of the parsing plugin was not enabled, resulting in loss of field units during structured extraction.
  • Phenomenon: When calling the knowledge base via API to obtain marketing content, the returned result does not include the reference_files field. Cause: The RETURN_REFERENCE_FILES parameter was not enabled; this parameter is disabled by default in version 4.8.14.

How to Confirm Your Configuration Is Correct

  • Upload white goods official product manuals to the knowledge base, and check whether the parsed structured fields retain the unit information for rated power and average daily power consumption.
  • Initiate a knowledge base call to generate home appliance marketing copy, and check whether the <Reference> tags in the returned result include the recently uploaded product manual document.
  • Call the API interface to initiate a knowledge base query, and check whether the returned result includes the reference_files field.
  • Wait 24 hours, then check whether preset marketing material documents have been added to the knowledge base, to confirm that the synchronization plugin is running normally.

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.