#23 · Primary category: AI Cloud Platforms & PaaS

amazon-bedrock-samples

amazon-bedrock amazon-titan bedrock embeddings generative-ai knowledge-base langchain rag

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

Project last updated:08/29/26

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Why we included this project

This is the kind of repository to open before you start writing Bedrock code from scratch. It holds a large, well-organized collection of runnable notebooks and scripts that walk through the service's real features: calling foundation models, wiring up knowledge bases for retrieval-augmented generation, building agents that call external tools, adding guardrails, and evaluating model output. AWS samples maintains it with contributions from more than a hundred engineers, so the examples tend to track Bedrock's new models and features fairly closely. If you are moving past a proof of concept, the workflow and observability sections are worth a look; they show what production use involves before you invest in custom infrastructure. It is a hands-on reference to browse by use case, not a turnkey application you can deploy.

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