Amazon Web Services is Amazon's cloud division selling compute, storage, Bedrock model hosting and related AI infrastructure. Public pages cover regional cloud services for builders and enterprises. Knowledge Bases for Amazon Bedrock is Amazon Web Services's platform, from Amazon Web Services, Inc. Published at aws.amazon.com/bedrock/knowledge-bases. Directory filing: RAG systems. Knowledge Bases for Amazon Bedrock is Amazon Web Services's platform, from Amazon Web Services, Inc. Published at aws.amazon.com/bedrock/knowledge-bases. Directory filing: RAG systems.

Category: RAG systems

Product listing

Knowledge Bases for Amazon Bedrock

Name: Knowledge Bases for Amazon Bedrock
Brand: Amazon Web Services

From Amazon Web Services

aws.amazon.com

AI Platform / Infrastructure · RAG systems · Search, Research & Knowledge

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Where this product sits

Knowledge Bases for Amazon Bedrock is classified as RAG systems. RAG systems retrieve organisation-approved sources and then generate an answer with citations. They are bought as knowledge products with permissioning, not as a raw LLM. The failure mode is an unsourced or over-permissioned answer.

Buyers typically come to RAG systems because staff ask models questions the intranet already answered, or the model invents citations. Classification is not a finding that this product solves that job.

This is TrustMark's classification reading for buyers comparing RAG systems products. It is not an Assurance Score, certificate, or ranked position.

What it is

Product classification

AI Platform / Infrastructure

RAG systems · Search, Research & Knowledge

What it does

How this product is used

Capabilities: Not specified
Sectors: Cross-industry / not specified
Deployment: Not specified
Autonomy: ASSISTIVE
Data exposure: Not specified

Verified claims

What has been independently checked

Independently verified· 2026-09-17Domain association: Verified
This only confirms the listing is tied to a checked company website domain. It is not a product assessment, certificate, review star, or ranked position.

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Supplier-provided information

AI TrustMark has not independently verified supplier-provided marketing claims on this profile, including untested productivity, ROI or performance figures, unless they appear under verified claims or a named certificate. Absence of a claim from the verified list means it has not been evidenced here.

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Category context

Why buyers look at RAG systems

RAG systems retrieve organisation-approved sources and then generate an answer with citations. They are bought as knowledge products with permissioning, not as a raw LLM. The failure mode is an unsourced or over-permissioned answer.

Staff ask models questions the intranet already answered, or the model invents citations.

This is category context, not an independent assessment of Knowledge Bases for Amazon Bedrock. Vendor-claimed differences are listed above. Assessment results appear only after examination.

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Where to get more information

Product website · aws.amazon.com/bedrock/knowledge-bases/
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Amazon Neptune Claim
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Amazon Nova 2 Sonic Claim
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Amazon Nova Act Claim
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Amazon Nova Pro Claim
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Amazon Personalize Claim
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Amazon Polly Claim
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Amazon Q Developer Claim
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Amazon Quick Claim
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Amazon S3 Vectors Claim
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Amazon SageMaker Autopilot Claim
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Amazon SageMaker Canvas Claim
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Amazon SageMaker Data Wrangler Claim
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Amazon SageMaker Feature Store Claim
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Amazon SageMaker Ground Truth Claim
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Amazon SageMaker HyperPod Claim
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Amazon Textract Claim
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Amazon Transcribe Claim
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Amazon Translate Claim
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AutoGluon Claim
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AWS Clean Rooms Claim
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AWS Device Farm Claim
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AWS DevOps Agent Claim
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AWS IoT Greengrass Claim
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AWS IoT TwinMaker Claim
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Strands Agents Claim
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Titan Text Embeddings V2 Claim
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