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Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using …
No-Code Hacks for Tackling Non-Standard Table Recognition in GenAI
A compute framework for building Search, RAG, Recommendations and Analytics over complex structured & unstructured data.
About CosmosDB AI Graph and Knowledge Graph Solutions
The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.
Monitors and processes traffic to and from Azure OpenAI endpoints.
The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes
Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search
A platform accelerating delivery of secure, trustworthy enterprise copilots.
Examples of how-to use Azure OpenAI Log Probabilities (LogProbs) feature to enhance Generative AI - Q&A grounding.
A home automation sample that uses Semantic Kernel and Hue lights
Samples on how to use Azure SQL database with Azure OpenAI
Smart load balancing for OpenAI endpoints and Azure API Management
A simple chat application that uses managed identity for Azure OpenAI access. Designed for deployment on Azure Container Apps with the Azure Developer CLI.
Distribute and run LLMs with a single file.
A toolkit for developing high-performance HTTP reverse proxy applications.
Business process automation solution accelerator using Azure services
A code-first agent framework for seamlessly planning and executing data analytics tasks.
Supercharge Your LLM Application Evaluations 🚀
Windows system utilities to maximize productivity
Learn how to build solutions with Large Language Models.
Semantic Kernel (SK) is a lightweight SDK enabling integration of AI Large Language Models (LLMs) with conventional programming languages.
Starter Projects for Semantic Kernel