A company has a generative AI application that uses a pre-trained foundation model (FM) on Amazon Bedrock. The company wants the FM to include more context by using company information. Which…

The correct answer is A. Use Amazon Bedrock Knowledge Bases. Amazon Bedrock Knowledge Bases let you index and retrieve your company’s documents at inference time, injecting relevant context into the pre-trained FM’s prompts without the cost or complexity of re-training or fine-tuning a custom model. This retrieval-augmented approach…

Submitted by fernanda_arg· Mar 30, 2026Applications of Foundation Models

Question

A company has a generative AI application that uses a pre-trained foundation model (FM) on Amazon Bedrock. The company wants the FM to include more context by using company information. Which solution meets these requirements MOST cost-effectively?

Options

AUse Amazon Bedrock Knowledge Bases.
BChoose a different FM on Amazon Bedrock.
CUse Amazon Bedrock Agents.
DDeploy a custom model on Amazon Bedrock.

How the community answered

(71 responses)

A
69% (49)
B
7% (5)
C
4% (3)
D
20% (14)

Explanation

Amazon Bedrock Knowledge Bases let you index and retrieve your company’s documents at inference time, injecting relevant context into the pre-trained FM’s prompts without the cost or complexity of re-training or fine-tuning a custom model. This retrieval-augmented approach delivers up-to-date, domain-specific information in responses while keeping costs low.

Topics

#RAG#Knowledge Bases#Amazon Bedrock#cost optimization

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