Amazon Bedrock Recipes
A collection of resources to help builders use and learn about the features of Amazon Bedrock.
Getting Started
# Step 1: install python sdk
pip install boto3
# Step 2: clone the repository and use available notebooks
git clone https://github.com/aws-samples/amazon-bedrock-samples.git
cd amazon-bedrock-samplesFeatures
Agents
Amazon Bedrock Agents enable generative AI applications to execute multi-step tasks across company systems and data sources. This streamlines workflows, automates repetitive tasks, and increases productivity while reducing costs.
Learn MoreKnowledge Bases
Amazon Bedrock Knowledge Bases provide FMs and agents with contextual information from private data sources. This enables RAG to deliver more relevant, accurate, and customized responses tailored to your company's specific needs.
Learn MoreGuardrails
Amazon Bedrock Guardrails offer control mechanisms to ensure AI outputs align with organizational policies and ethical standards. This feature helps maintain consistency and safety in AI-generated content across various applications.
Learn MoreModel Evaluation
Amazon Bedrock's Model Evaluation allows users to assess and compare different models' performance. This feature helps in selecting the most suitable model for specific tasks, ensuring optimal results for your AI applications.
Learn MorePrompt Management
Amazon Bedrock Prompt Management simplifies the creation, evaluation, versioning, and sharing of prompts to help developers and prompt engineers get the best responses from foundation models (FMs) for their use cases.
Learn MorePrompt Flow
Amazon Bedrock Prompt Flows accelerates the creation, testing, and deployment of workflows through an intuitive visual builder. Prompt Flows allows you to seamlessly link foundation models (FMs), prompts, and many AWS services and tools together.
Learn More