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azure-ai-foundry

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This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT-4 LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

  • Updated Apr 28, 2025
  • Bicep

The LLMAgentOps Toolkit is a repository that provides a foundational structure for building LLM Agent-based applications using the Semantic Kernel. It serves as a starting point for data scientists and developers, facilitating experimentation, evaluation, and deployment of LLM Agent-based applications to production.

  • Updated Feb 21, 2025
  • Python
DataSage-Azure-AI-QnA-LangGraph-SQLDB

DataSage is an AI-powered question-answering system for tabular (SQL) data, leveraging Azure AI Foundry, LangGraph, Azure SQL DB, and Streamlit. It enables users to query databases using natural language and retrieve intelligent, context-aware responses. Deployment is supported via Python and Bicep for seamless Azure resource provisioning.

  • Updated Mar 26, 2025
  • Bicep

Model Mondays is a weekly livestreamed series on Microsoft Reactor that helps you make informed model choice decisions with timely updates and model deep-dives. Watch live for the content. Join Discord for the discussions.

  • Updated Apr 7, 2025
  • Jupyter Notebook

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