AI-201 · Question #296
Universal Containers wants an AI agent to answer questions about warranties using unstructured data stored in Data Cloud. Results must be filterable by product line and ranked by recent updates.
The correct answer is B. Build a custom retriever in Einstein Studio with product line filters and recency ranking. Custom retrievers in Einstein Studio allow organizations to define specific metadata filters and ranking logic that exceed the capabilities of the default retriever, which is required when filtering by product line and ranking by recency.
Question
Universal Containers wants an AI agent to answer questions about warranties using unstructured data stored in Data Cloud. Results must be filterable by product line and ranked by recent updates.
Options
- AUse the default retriever which automatically accounts for recency ranking.
- BBuild a custom retriever in Einstein Studio with product line filters and recency ranking.
- CApply semantic embeddings with default metadata filters to achieve the desired result.
How the community answered
(21 responses)- A19% (4)
- B76% (16)
- C5% (1)
Why each option
Custom retrievers in Einstein Studio allow organizations to define specific metadata filters and ranking logic that exceed the capabilities of the default retriever, which is required when filtering by product line and ranking by recency.
The default retriever uses standard semantic similarity scoring and does not automatically apply recency ranking or support custom metadata filters such as product line segmentation.
A custom retriever built in Einstein Studio enables configuration of product line metadata filters and recency-based ranking as explicit retrieval parameters, which are both requirements that the default retriever cannot fulfill. This gives the agent precise control over which unstructured warranty records are surfaced and how they are ordered in the response.
Semantic embeddings with default metadata filters provide similarity-based retrieval but do not natively support custom recency ranking or product-line-specific filtering logic required by the scenario.
Concept tested: Custom retriever configuration in Einstein Studio for RAG
Source: https://help.salesforce.com/s/articleView?id=sf.einstein_studio_retriever.htm&type=5
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