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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 …
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/python/azure/ or our v…
A holistic framework to enable the design, development, and evaluation of autonomous AIOps agents.
A collection of samples demonstrating techniques for processing documents with Azure AI including AI Studio, OpenAI, Document Intelligence, etc.
Multi-modal & multi-domain customer service agent with real time text, voice and soon video
Explore the Azure AI Foundry quickstarts and tutorials with retail copilot context in mind.
Azure Cosmos DB AI Graph and Knowledge Graph Solutions
Demo for a Prompt Flow using OpenAI Assistants
A simple example implementation of the VoiceRAG pattern to power interactive voice generative AI experiences using RAG with Azure AI Search and Azure OpenAI's gpt-4o-realtime-preview model.
One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure
Alternative graph implementations built on the Azure CosmosDB SQL API, Java, Spring Boot, and Spring Data
The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 14+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
🤖 Build voice-based LLM agents. Modular + open source.
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
A guidance language for controlling large language models.
Python script to list all the available OpenAI models in a subscription and show the available quota
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Monitors and processes traffic to and from Azure OpenAI endpoints.
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
A high-throughput and memory-efficient inference and serving engine for LLMs