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Retrieval Augmented Generation (RAG) is a popular technique to get LLMs to answer questions based off your own knowledge base.

"Agentic RAG" adds planning, tool use, and reflection to a RAG flow. In this session, we'll demonstrate an Agentic RAG workflow using OpenAI Function Calling with NL2SQL for structured data, Azure AI Search for unstructured data, and Bing Search API for live web search.

📌 Learn more about the series here

Follow along: - Create agentic AI solutions by using Azure AI Foundry - Practical Foundation for AI Agents: A Developer's Guide on Azure AI Foundry, Apps, and Data

📌 Learn more about the series here

Pre-requisites: * Join the Hackathon * Learning Resources

Agentic applications are a fast-growing development paradigm where Large Language Models (LLMs) are utilized to do a lot more than summarize some documents. These applications can initiate actions (for e.g. save new releases to your Spotify playlist), trigger workflows, or be given full agency to determine how to achieve a certain objective on behalf of the user.

In this webinar, we will dive into the core concepts behind agentic AI applications, compare it to traditional SaaS systems, and examine how techniques — like function calling and planning – play a powerful role in building these applications.

We will also explore how you can leverage existing business functions and APIs to build powerful systems with Arch, the open-source, intelligent gateway server for intelligent apps. Through demonstrations and discussions, you will gain a clear understanding of how to approach agentic system architecture.

What we will cover

• Understanding tasks, workflows, and agency in agentic applications.
• Gain a high-level overview of when (and when not to build) agentic systems.
• Delving into intent detection, function calling, and planning to enhance task performance.
• Configuring functions and API definitions in Arch Gateway to build a real-world agentic application.
• A complete walkthrough demo of an agentic app retrieving real-time information in RAG scenarios, performing actions like submitting forms, calling APIs, and modifying application states (like handing off the conversation).

Agentic applications are a fast-growing development paradigm where Large Language Models (LLMs) are utilized to do a lot more than summarize some documents. These applications can initiate actions (for e.g. save new releases to your Spotify playlist), trigger workflows, or be given full agency to determine how to achieve a certain objective on behalf of the user.

In this webinar, we will dive into the core concepts behind agentic AI applications, compare it to traditional SaaS systems, and examine how techniques — like function calling and planning – play a powerful role in building these applications.

We will also explore how you can leverage existing business functions and APIs to build powerful systems with Arch, the open-source, intelligent gateway server for intelligent apps. Through demonstrations and discussions, you will gain a clear understanding of how to approach agentic system architecture.

What we will cover

• Understanding tasks, workflows, and agency in agentic applications.
• Gain a high-level overview of when (and when not to build) agentic systems.
• Delving into intent detection, function calling, and planning to enhance task performance.
• Configuring functions and API definitions in Arch Gateway to build a real-world agentic application.
• A complete walkthrough demo of an agentic app retrieving real-time information in RAG scenarios, performing actions like submitting forms, calling APIs, and modifying application states (like handing off the conversation).

Agentic applications are a fast-growing development paradigm where Large Language Models (LLMs) are utilized to do a lot more than summarize some documents. These applications can initiate actions (for e.g. save new releases to your Spotify playlist), trigger workflows, or be given full agency to determine how to achieve a certain objective on behalf of the user.

In this webinar, we will dive into the core concepts behind agentic AI applications, compare it to traditional SaaS systems, and examine how techniques — like function calling and planning – play a powerful role in building these applications.

We will also explore how you can leverage existing business functions and APIs to build powerful systems with Arch, the open-source, intelligent gateway server for intelligent apps. Through demonstrations and discussions, you will gain a clear understanding of how to approach agentic system architecture.

What we will cover

• Understanding tasks, workflows, and agency in agentic applications.
• Gain a high-level overview of when (and when not to build) agentic systems.
• Delving into intent detection, function calling, and planning to enhance task performance.
• Configuring functions and API definitions in Arch Gateway to build a real-world agentic application.
• A complete walkthrough demo of an agentic app retrieving real-time information in RAG scenarios, performing actions like submitting forms, calling APIs, and modifying application states (like handing off the conversation).