Skip to content
#

azureaifoundry

Here are 12 public repositories matching this topic...

AI STACK COMPARISON AWS AZURE GCP : A deep-dive comparison and architectural breakdown of the AI/ML and Generative AI stacks across AWS, Microsoft Azure, and Google Cloud Platform (GCP). Includes service mappings for Data Foundations, ML Development (SageMaker, Vertex AI, Azure ML), and GenAI (Bedrock, OpenAI, Gemini)

  • Updated Jun 3, 2026

Agentic AI and Generative AI implementations using LangChain, LangGraph, CrewAI, AutoGen, and advanced RAG architectures. Includes LLM orchestration, multi-agent workflows, vector databases, CI/CD pipelines, observability, and cloud-native deployment on AWS , Azure and GCP.

  • Updated Feb 23, 2026

Paste a GitHub URL. Get two reports: a file-level debt map for your engineers, and a plain-English business case for your CEO — powered by Azure AI Foundry reasoning over commit history and code metrics.

  • Updated Jun 14, 2026
  • Python

Improve this page

Add a description, image, and links to the azureaifoundry topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the azureaifoundry topic, visit your repo's landing page and select "manage topics."

Learn more