Does this skill support Retrieval-Augmented Generation (RAG)?

Yes, it includes specific nodes for Bedrock Knowledge Bases to implement seamless RAG workflows with customizable retrieval configurations.

How are flows deployed for production use?

The skill supports creating flow versions and aliases, allowing you to deploy stable, version-controlled API endpoints for programmatic invocation via boto3.

What is Amazon Bedrock Flows?

Amazon Bedrock Flows is a visual workflow builder that allows you to link foundation models, knowledge bases, and AWS services into complex, multi-step AI applications.

Can I add custom logic to my AI flows?

Absolutely. You can use Lambda nodes, inline code nodes, and conditional branching to handle complex business logic and data routing within your workflow.

Amazon Bedrock Flows Orchestrator

Name: Amazon Bedrock Flows Orchestrator
Author: adaptationio

byadaptationio

クラウドインフラストラクチャ

Builds and manages visual generative AI workflows using Amazon Bedrock Flows to orchestrate models, knowledge bases, and AWS services.

概要

This skill empowers developers to design, deploy, and manage complex, multi-step AI workflows through Amazon Bedrock Flows. It provides a standardized framework for linking foundation models with AWS services like Lambda and S3, implementing retrieval-augmented generation (RAG) through knowledge bases, and handling complex logic with conditional branching and iterators. Whether you're building a simple document QA system or a sophisticated agentic pipeline, this skill streamlines the process of creating production-ready AI applications with built-in version control and API-based invocation.

主な機能

Native integration with Bedrock Knowledge Bases for RAG
Comprehensive version management and alias deployment for production
Advanced logic support including conditional branching and loops
Visual AI workflow construction with multi-node orchestration
AWS service integration via Lambda, S3, and API deployment
0 GitHub stars

ユースケース

Building automated content routing systems based on sentiment or category
Deploying production-ready AI agents with versioned API endpoints
Creating multi-step RAG pipelines for complex document analysis

概要

主な機能

Native integration with Bedrock Knowledge Bases for RAG
Comprehensive version management and alias deployment for production
Advanced logic support including conditional branching and loops
Visual AI workflow construction with multi-node orchestration
AWS service integration via Lambda, S3, and API deployment
0 GitHub stars

ユースケース

Building automated content routing systems based on sentiment or category
Deploying production-ready AI agents with versioned API endpoints
Creating multi-step RAG pipelines for complex document analysis