Universal Containers (UC) uses a file upload-based data library and custom prompt to support AI- driven training content. However, users report that the AI frequently returns outdated documents. Which

Question

Options

• ASwitch the data library source from file uploads to a Knowledge-based data library, because
• BConfigure a custom retriever that includes a filter condition limiting retrieval to documents updated
• CContinue using the default retriever without filters, because periodic re-uploads will eventually

• A
  13% (7)
• B
  80% (45)
• C
  7% (4)

Explanation

UC's issue is that their file upload-based Data Library (where PDFs or documents are uploaded and indexed into Data Cloud's vector database) is returning outdated training content in AI responses. To improve relevancy by ensuring only current documents are retrieved, the most effective solution is to configure a custom retriever with a filter (Option B). In Agentforce, a custom retriever allows UC to define specific conditions-such as a filter on a "Last Modified Date" or similar timestamp field-to limit retrieval to documents updated within a recent period (e.g., last 6 months). This ensures the AI grounds its responses in the most current content, directly addressing the problem of outdated documents without requiring a complete overhaul of the data

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