Evaluating and tracing your AI App with Prompt FlowAn implementation with Python SDK and built-in Eval metricsOct 11Oct 11
Introducing Prompt Shield in Content SafetyAn implementation with Azure AI Studio and PythonSep 7Sep 7
Introducing Agent-based RAGAn implementation with LangGraph, Azure AI Search and Azure OpenAI GPT-4oAug 164Aug 164
Getting Started with Structured Output in Azure OpenAIAn implementation in Python with GPT-4o miniAug 82Aug 82
Implementing a Semantic Cache for your LLM app with CosmosDBAn implementation with LangChain and MongoDB APIJul 15Jul 15
Deploy LLM applications on Azure Container Apps with Code Interpreter dynamic sessionsAn implementation with LangChain and Azure OpenAIJul 6Jul 6
Azure OpenAI Assistants API with Logic AppsImplementing Function Calling with a low-code experienceJun 151Jun 151
RAG with Phi-3-Medium as a Model as a Service from Azure Model CatalogAn implementation with Prompt Flow and StreamlitJun 72Jun 72
Published inMicrosoft AzureIntroducing GraphRAG with LangChain and Neo4jPart 2: Implementing and evaluating a GraphRAG applicationMay 124May 124
