amazon-bedrock-samples
Examples for using Amazon Bedrock Service including embedding and generative AI models
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
amazon-bedrock-samples
Good fit when
- When you need starter code samples for interacting with Amazon Bedrock Service foundational models in Jupyter Notebooks.
- If your project aims to work specifically with embedding and generative AI models provided by the Amazon Bedrock Service.
Avoid when
- If you are looking for samples or frameworks not hosted in Jupyter Notebook format, as this may require manual conversion or scripting.
- When your project's requirements do not include using Amazon Bedrock Service models, favoring other cloud service providers' foundational models instead.
- Requirements:
- Development environment must support Jupyter Notebooks to utilize the repository content effectively.
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (22d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/aws-samples/amazon-bedrock-samplesSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides starter code in Jupyter Notebook format for interacting with various foundational models offered by the Amazon Bedrock Service
Capability facts
- Languages
- jupyter notebook
Source: github.language · Sep 20, 2026
Categories
Tags
README
Getting Started To get started with the code examples, ensure you have access to Amazon Bedrock. Then clone this repo and navigate to one of the folders above. Detailed instructions are provided in each folder's README. License This library is licensed under the MIT 0 License. Se...
For agents
This page has a .md twin and JSON over the API.