AzureFeeds

Learn how to analyze and gather representative content such as documents, images, videos, and audio files and develop test queries to validate your RAG solution.

Learn how embeddings work, how to choose an embedding model, and how your embedding model can affect your vector search results.

Learn about how to evaluate your RAG solution from end to end by calculating and evaluating key large language model and similarity metrics.

Learn about the various chunking strategies like boundary based, custom code, and document analysis models. Also learn about how the document structure should influence your chunking […]

Learn how to augment your chunks with metadata like title, summary, keywords, entities, and more and learn common cleaning methods that can improve vector matches.

Learn about a scalable, secure AKS microservices architecture that builds on recommended AKS microservices baseline architectures and implementations.

Learn about the infrastructure and DevOps considerations to deploy and run a microservices architecture on Azure Kubernetes Service (AKS).

Learn how to use Azure Kubernetes Service to host GPU-based workloads, including machine learning, deep learning, and high-performance computing (HPC) workloads.

Establish foundational knowledge for how to build and deploy enterprise chat applications by using Microsoft Foundry and Azure App Service.

Get started with AI. Use high-level architectural types, see Azure AI platform offerings, and find customer success stories.

Learn about deploying the baseline Microsoft Foundry, Foundry Agent Service, Azure OpenAI in Foundry Models, and Azure App Service chat architecture in an Azure landing zone.

Use this baseline reference architecture to learn how to build network-secured, highly available, and zone-redundant enterprise chat applications by using Microsoft Foundry, the Azure AI Agent […]