LlamaIndex has announced a comprehensive stack for end-to-end Retrieval-Augmented Generation (RAG) and knowledge-augmented agents, fully available on Azure, as a result of its collaboration with Microsoft, revealed at Microsoft Ignite in Chicago. The stack leverages Azure OpenAI Service, Azure AI Embeddings, and Azure AI Search to enhance large language models with private data, allowing the creation of sophisticated RAG applications. The integration with Azure AI further refines the RAG stack through Azure Doc Store and Azure KV Store for data loading, and Azure Chat Store for persistent memory in chatbot applications. In 2024, LlamaIndex expanded beyond RAG to support full agents using Workflows abstraction, with Azure's agentic tools like the Azure Code Interpreter enhancing capabilities such as text-to-speech, computer vision, and language translation. LlamaIndex templates in the AI App Template Gallery facilitate rapid development of Azure-based agentic AI applications, with CEO Jerry Liu expressing excitement about the collaboration's success and future potential in providing secure, cutting-edge AI solutions through Microsoft's ecosystem.