aws · Amazon Bedrock Docs

En Us Retrieve data and generate AI responses with Amazon Bedrock Knowledge Bases

Implements Retrieval Augmented Generation (RAG) by connecting foundation models to proprietary unstructured or structured data sources using Amazon Bedrock Knowledge Bases.

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Derived skill

Files assembled from official documentation

Viewing SKILL.md

En Us Retrieve data and generate AI responses with Amazon Bedrock Knowledge Bases

Implements Retrieval Augmented Generation (RAG) by connecting foundation models to proprietary unstructured or structured data sources using Amazon Bedrock Knowledge Bases.

When To Use

Use when you need to integrate private data sources into a generative AI application to improve response accuracy through RAG, multimodal search, or structured data querying.

Reference Files

File	Contains	Use For
`SKILL.md`	Entry point: scope, routing table, and workflow.	Start here.
`docs/en-us-bedrock-knowledge-base-retrieve-data-and-generate-ai-responses-wit-workflow-guide.md`	A guide explaining how to use Retrieval Augmented Generation (RAG) to retrieve data and generate AI responses using Amazon Bedrock Knowledge Bases.	Questions about a guide explaining how to use Retrieval Augmented Generation (RAG) to retrieve data and generate AI responses using A...

What This Skill Covers

While foundation models have general knowledge, you can further improve their responses by using Retrieval Augmented Generation (RAG). RAG is a technique tha...

Workflow

Open the most relevant file under docs/ for the exact documented workflow and wording.
Open schemas/ files for exact structured contracts.
Open examples/ files for concrete requests, commands, snippets, and manifests.
Do not add behavior or configuration that is not present in the attached source files.

Canonical source: https://docs.aws.amazon.com/en_us/bedrock/latest/userguide/knowledge-base.html