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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.