Why is "Ensure the retriever's filters are defined to limit the scope of each search efficiently" the correct answer?
In Agentforce, when optimizing a retriever's configuration to ensure minimal latency in AI-generated responses, the most effective approach is narrowing the scope of searches by applying specific filters.
Key Considerations for Optimizing Retrievers in Agentforce:
Defining Effective Filters
Applying precise search filters reduces unnecessary data retrieval, decreasing response time.
Filters help focus on relevant records, avoiding delays caused by processing large datasets.
Reducing Query Complexity
Overly broad searches can increase retrieval time, leading to latency issues.
Well-configured retriever filters streamline queries, improving response speed.
Optimizing the Data Indexing Process
Restricting retriever searches to indexed fields enhances efficiency.
Pre-indexed data is faster to access, reducing retrieval time.
Why Not the Other Options?
❌ A. Configure the retriever to operate in dynamic mode so that it modifies the search index structure at runtime.
Incorrect because modifying the search index at runtime increases latency rather than reducing it.
Index modifications require restructuring large datasets, which can slow down AI-generated responses.
❌ C. Increase the recency bias setting for the retriever, limiting scope to more recent data.
Incorrect because increasing recency bias only prioritizes recent records but does not necessarily improve overall retrieval speed.
While it affects relevance, it does not directly address latency issues.
Agentforce Specialist References
Salesforce AI Specialist Material confirms that retriever efficiency depends on well-defined filtering mechanisms to minimize latency.
Salesforce Instructions for Certification highlight retriever optimization strategies to improve search response times.
