Tutorials

This section contains a collection of flow samples and step-by-step tutorials.

Category	Sample	Description
Tracing	Tracing	Prompt flow provides the tracing feature to capture and visualize the internal execution details for all flows
Tracing	Tracing with llm application	Tracing LLM application
Tracing	Tracing with autogen	Tracing LLM calls in autogen group chat application
Tracing	Tracing with langchain apps	Tracing LLM calls in langchain application
Tracing	Tracing with custom opentelemetry collector	A tutorial on how to levarage custom OTLP collector.
Prompty	Getting started with prompty	A quickstart tutorial to run a prompty and evaluate it.
Prompty	Chat with prompty	A quickstart tutorial to run a chat prompty and evaluate it.
Prompty	Prompty output format
Flow	Getting started with flex flow	A quickstart tutorial to run a flex flow and evaluate it.
Flow	Chat with class based flex flow	A quickstart tutorial to run a class based flex flow and evaluate it.
Flow	Stream chat with async flex flow	A quickstart tutorial to run a class based flex flow in stream mode and evaluate it.
Flow	Stream chat with flex flow	A quickstart tutorial to run a class based flex flow in stream mode and evaluate it.
Flow	Getting started with dag flow	A quickstart tutorial to run a flow and evaluate it.
Flow	Execute flow as a function	This guide will walk you through the main scenarios of executing flow as a function.
Flow	Run flows in azure ml pipeline	Create pipeline using components to run a distributed job with tensorflow
Flow	Flow run management in azure	Flow run management in Azure AI
Flow	Flow run management	Flow run management
Flow	Evaluate with langchain’s evaluator	A tutorial to converting LangChain criteria evaluator application to flex flow.
Flow	Getting started with flex flow in azure	A quickstart tutorial to run a flex flow and evaluate it in azure.
Flow	Chat with class based flex flow in azure	A quickstart tutorial to run a class based flex flow and evaluate it in azure.
Flow	Run dag flow in azure	A quickstart tutorial to run a flow in Azure AI and evaluate it.
Deployment	Create service with flow	This example shows how to create a simple service with flow
Deployment	Deploy a flow using docker	This example demos how to deploy flow as a docker app
Deployment	Distribute flow as executable app	This example demos how to package flow as a executable app
Deployment	Deploy flow using azure app service	This example demos how to deploy a flow using Azure App Service
Deployment	Deploy flow using kubernetes	This example demos how to deploy flow as a Kubernetes app
Rag	Tutorial: chat with pdf	Retrieval Augmented Generation (or RAG) has become a prevalent pattern to build intelligent application with Large Language Models (or LLMs) since it can infuse external knowledge into the model, which is not trained with those up-to-date or proprietary information
Rag	Tutorial: how prompt flow helps on quality improvement	This tutorial is designed to enhance your understanding of improving flow quality through prompt tuning and evaluation
Rag	Chat with pdf - test, evaluation and experimentation	A tutorial of chat-with-pdf flow that allows user ask questions about the content of a PDF file and get answers
Rag	Develop copilot with promptflow	In this tutorial, we will provide a detailed walkthrough on creating a RAG-based copilot using the Azure Machine Learning promptflow toolkit
Rag	How to generate test data based on documents	In this doc, you will learn how to generate test data based on your documents for RAG app
Rag	Chat with pdf in azure	A tutorial of chat-with-pdf flow that executes in Azure AI

Learn more: Try out more promptflow examples.