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RAG

Retrieval Augmented Generation (RAG)

ai machine_learning llm

36

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2020-Q1 2026-Q1

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Filtering by: Microsoft Ignite 2025 ×

Learn to deploy Enterprise-grade Retrieval-Augmented Generation (RAG) agents using NVIDIA Nemotron and NIM microservices on Azure Kubernetes Service (AKS). This hands-on lab walks you through building scalable, GPU-accelerated AI pipelines powered by Azure and NVIDIA AI Enterprise.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Foundry IQ: the future of RAG with knowledge retrieval and AI Search

Agents need context. How should we connect data to our agents for optimal context? In this session we will introduce Foundry IQ, the knowledge layer for agents, and the latest developments from Azure AI Search and Microsoft Foundry. Learn about multi-source RAG orchestration, retrieval steering, dynamic security controls and agentic RAG.

Join us for a hands-on workshop showcasing the latest Azure SQL innovations to supercharge your applications. Learn how to harness generative AI alongside Azure SQL Database to elevate your data strategies with AI concepts like language models, prompt engineering, Retrieval Augmented Generation (RAG) and streamline with Microsoft Copilot. Whether you're a developer, architect, or IT professional, this workshop is your ticket to mastering SQL and AI to stay ahead in the data-driven landscape.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Learn how to build an advanced AI agent using Azure Database for PostgreSQL and the new Microsoft Agent Framework. This hands-on lab walks you through integrating Retrieval-Augmented Generation (RAG), semantic re-ranking, Semantic Operators, and GraphRAG (using Apache AGE) to enable intelligent legal question-answering using real case data. Gain practical AI implementation skills with your own PostgreSQL-backed applications.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Join Microsoft’s product team for a hands-on lab where you'll design and deploy an AI-powered application using SQL Database in Microsoft Fabric. This session dives into HTAP capabilities, enabling seamless transactional and analytical processing. You'll provision a SaaS-native SQL Database, use Copilot to generate schema and queries, and implement advanced patterns like RAG with vector search. Walk away with practical skills and a working solution you can apply immediately.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Build scalable AI apps with Azure SQL Database Hyperscale
breakout
by Ravi Mantena , Anna Hoffman (Azure Data) , Ross Jenkins (Hexagon ALI / Octave) , Aditya Badramraju (Microsoft) , Britt Ewen (BlackRock) , Dmitry Borodin (Hexagon Asset Lifecycle Intelligence)

Build AI apps that run securely and scale with your needs with Azure SQL Database Hyperscale. We’ll cover native vector indexes for semantic search, read scale out for low latency RAG, and secure model invocation with Microsoft Foundry, using the model of your choice, from T SQL. Hear directly from global technology company Hexagon and investment firm BlackRock who will join us to share their experience along with best practices, demos and more!

In this hands-on lab, you’ll build a Knowledge Base using agentic RAG, the next evolution of retrieval in Azure AI Search. Connect your agentic retrieval engine to your data through smart source selection across multiple indexes and storage systems. Learn how to enhance planning using natural language guidance and generate grounded responses with citations or extractive answers tailored to your use case. By the end, you’ll have a fully functional Knowledge Base that responds over enterprise data.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

In this hands-on workshop, you’ll learn to build domain-specific AI agents with Foundry Agent Service. Starting from a simple agent, you’ll add system prompts, custom instructions, and knowledge with RAG. You’ll extend it with tool calling (like a pizza calculator) and connect external services via MCP for live menu and order handling. By the end, you’ll have a working Contoso PizzaBot that can answer questions, recommend pizzas, and manage orders.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Join us for a hands-on workshop showcasing the latest Azure SQL innovations to supercharge your applications. Learn how to harness generative AI alongside Azure SQL Database to elevate your data strategies with AI concepts like language models, prompt engineering, Retrieval Augmented Generation (RAG) and streamline with Microsoft Copilot. Whether you're a developer, architect, or IT professional, this workshop is your ticket to mastering SQL and AI to stay ahead in the data-driven landscape.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

From theory to reality: How AI transforms network operations

AI is reshaping NetOps from scripted automation to intelligent, data driven workflows. We will show uses: incident triage, knowledge retrieval, traffic analysis, prediction, and contrast legacy monitoring with ML, NLP, and LLMs. See how RAG, text to SQL, and agent workflows enable real time insights across hybrid data. We will outline data pipelines and MLOps, address accuracy, reliability, cost, compliance, and weigh build vs buy. We will cover API integration and human in the loop guardrails.

Learn how to build an advanced AI agent using Azure Database for PostgreSQL and Semantic Kernel. This hands-on lab walks you through integrating Retrieval-Augmented Generation (RAG), semantic re-ranking, Semantic Operators, and GraphRAG (using Apache AGE) to enable intelligent legal question answering using real case data. Gain practical AI implementation skills with your own PostgreSQL-backed applications.

In this hands-on workshop, you’ll learn to build domain-specific AI agents with Foundry Agent Service. Starting from a simple agent, you’ll add system prompts, custom instructions, and knowledge with RAG. You’ll extend it with tool calling (like a pizza calculator) and connect external services via MCP for live menu and order handling. By the end, you’ll have a working Contoso PizzaBot that can answer questions, recommend pizzas, and manage orders.

Join us for a hands-on workshop showcasing the latest Azure SQL innovations to supercharge your applications. Learn how to harness generative AI alongside Azure SQL Database to elevate your data strategies with AI concepts like language models, prompt engineering, Retrieval Augmented Generation (RAG) and streamline with Microsoft Copilot. Whether you're a developer, architect, or IT professional, this workshop is your ticket to mastering SQL and AI to stay ahead in the data-driven landscape.

JoinMicrosoft’s product team for a hands-on lab where you'll design and deploy anAI-powered application using SQL Database in Microsoft Fabric. This sessiondives into HTAP capabilities, enabling seamless transactional and analyticalprocessing. You'll provision a SaaS-native SQL Database, use Copilot togenerate schema and queries, and implement advanced patterns like RAG withvector search. Walk away with practical skills and a working solution you canapply immediately.

Looking to add on-device AI to your apps? Not sure how to get started? Join our lab to learn how to integrate local AI capabilities into your Windows apps using Windows AI APIs. Discover how to implement Semantic Search and Retrieval-Augmented Generation (RAG) to power intelligent information retrieval, and use Phi Silica for on-device text processing. This lab will walk you through key APIs, and best practices to build on-device AI solutions for Copilot+ PCs. Developers of all levels welcome.

Practical PostgreSQL and LLM observability on Azure

Whether you're building a chat application, a RAG system, or other AI tools, monitoring remains crucial. We'll show you how Datadog's comprehensive Azure monitoring can help you:

• Get started with PostgresSQL on Azure • Track PostgreSQL performance metrics that matter for GenAI workloads • Create dashboards and alerts that provide meaningful insights