Nov 18, 2025 · This tutorial will walk you through using the Azure OpenAI embeddings API to perform document search where you'll query a knowledge base to find the most relevant document.

Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input …

Nov 4, 2025 · Using this approach, you can use embeddings as a search mechanism across documents in a knowledge base. The user can then take the top search result and use it for their downstream …

May 26, 2025 · In this blog, we will explore the Azure OpenAI Service, how it compares to the OpenAI public API, and walk through a complete tutorial showing how to implement semantic search with …

Nov 30, 2025 · A complete guide to embedding text in C# with Azure OpenAI. Learn setup, model deployment, and vector generation for RAG, vector search and AI-powered applications.

Nov 28, 2025 · The Azure OpenAI Embedding skill connects to an embedding model deployed to your Azure OpenAI in Foundry Models resource or Microsoft Foundry project to generate embeddings …

Azure’s OpenAI extends the OpenAI capabilities, offering safe text generation and Embeddings computation models for various task: Similarity embeddings are good at capturing semantic similarity …

Nov 26, 2025 · Learn more about using Azure OpenAI and embeddings to perform document search with our embeddings tutorial. Learn more about the underlying models that power Azure OpenAI.

Azure OpenAI's official extension package for using OpenAI's .NET library with the Azure OpenAI Service.

Embeddings power vector similarity search in Azure Databases such as Azure Cosmos DB for NoSQL, Azure Cosmos DB for MongoDB vCore, Azure SQL Database or Azure Database for PostgreSQL - …