What is a valid use case for Data Cloud retrievers?

The correct answer is A. Returning relevant data from the vector database to augment a prompt.. Data Cloud retrievers are designed to perform semantic (vector) similarity searches against data that has been indexed in Data Cloud's vector database. When a user submits a query, the retriever finds the most relevant chunks of data and injects them into the prompt - a classic R

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Question

Options

AReturning relevant data from the vector database to augment a prompt.
BGrounding data from external websites to augment a prompt with RAG.
CModifying and updating data within the source systems connected to Data Cloud.

How the community answered

(43 responses)

A
91% (39)
B
2% (1)
C
7% (3)

Explanation

Data Cloud retrievers are designed to perform semantic (vector) similarity searches against data that has been indexed in Data Cloud's vector database. When a user submits a query, the retriever finds the most relevant chunks of data and injects them into the prompt - a classic Retrieval-Augmented Generation (RAG) pattern. Option B is incorrect because Data Cloud retrievers work with data already indexed in Data Cloud, not with arbitrary external websites. Option C is incorrect because retrievers are read-only components; they surface data but do not write back to source systems.

Topics

#Data Cloud#Retrieval Augmented Generation#Vector Database#Prompt Augmentation

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