Knowledge Base Retrieval and Recall for Black Home Appliance Marketing Content

In black home appliance marketing customer acquisition scenarios targeting the finance industry, relevant data mainly comes from official product

What this category's data looks like

In black home appliance marketing customer acquisition scenarios targeting the finance industry, relevant data mainly comes from official product manuals, SKU parameter sheets, marketing script documents, promotional event announcements, and after-sales FAQs. Data update rhythms adjust with new product launches and promotion nodes, with concentrated updates before new product launches or major promotions. Document structures include structured parameter tables, unstructured marketing copy, and bulk SKU data in multi-column formats. Fields include model, launch date, official suggested retail price, applicable scenarios, and more. Units are mostly standardized metrics such as inches, watts, yuan, years. Some documents include cross-SKU comparison tables.

What constraints do these characteristics impose on knowledge base retrieval and recall?

The mixed presence of structured parameter tables and multi-column SKU data requires retrieval to precisely match fields and units, preventing recall errors caused by unit confusion. Improper splitting of bulk multi-column Excel data can split the complete information of a single SKU, harming retrieval accuracy. Frequently updated marketing content requires the knowledge base to support incremental synchronization; otherwise, recalled content will lag behind latest promotions and new product information. The fixed format of unstructured marketing scripts requires retrieval to prioritize matching core selling point keyword combinations, ensuring precise delivery of marketing content.

How to set configurations

Configuration ItemRecommended ValueRationale
Segment Length800–1200 charactersAdapt to the content length of a single SKU parameter sheet for black home appliances, avoid parameter breakage after splitting
Recall CountTop 6–8 resultsCover parameter and promotion information for different SKUs, while controlling context length
Similarity Threshold0.72–0.80Balance precision and recall scope, adapt to matching logic for numeric parameters
Rerank Return CountTop 3–4 resultsPrioritize displaying precise results with core selling points, fit information display needs for marketing scenarios
PARSE_FILE_AUTO_SPLITSplit by row (for Excel)Retain complete information of a single SKU in multi-column Excel, avoid messy cross-row splitting
PARSE_FILE_TIMEOUT_SECONDS300 secondsAdapt to parsing duration of multi-column Excel, prevent parsing failure for large SKU tables

The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and testing on local samples is recommended before finalizing settings.

Three common mistakes

  • Phenomenon: After importing a multi-column SKU parameter Excel file, automatic segment splitting is chaotic, with parameters of a single SKU split across multiple fragments. Cause: The automatic segment splitting configuration for Excel files is not set to split by row, and the default character-based splitting rule causes cross-row splitting.
  • Phenomenon: The conversation returns knowledge base citations, but the corresponding content is not uploaded to the local knowledge base currently in use. Cause: The global knowledge base recall function is enabled, and other associated knowledge base content is called.
  • Phenomenon: Knowledge base citations are forcibly displayed in conversations, and related annotations cannot be hidden. Cause: The citation display switch in the conversation configuration is not turned off, or the default template used has not had this setting adjusted.

How to confirm configurations are set correctly

  • Upload a multi-column SKU parameter Excel file, check if parsed segments are completely split by row, with no cross-row splitting.
  • Initiate a query containing specific black home appliance parameters, verify that the relevance of recalled results meets expectations.
  • Check the conversation configuration items, confirm that the citation display switch is turned on or off as required.
  • Manually trigger a knowledge base synchronization, confirm that updated materials can be retrieved within the preset cycle.

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.