Sasa Juratovic's repositories
AI-Gateway
APIM ❤️ OpenAI - this repo contains a set of experiments on using Azure APIM with Azure OpenAI and other services
ai-hub-gateway-landing-zone
Reference architecture that provides a set of guidelines and best practices for implementing a central AI API gateway to empower various line-of-business units in an organization to leverage Azure AI services
ai-hub-gateway-solution-accelerator
Reference architecture that provides a set of guidelines and best practices for implementing a central AI API gateway to empower various line-of-business units in an organization to leverage Azure AI services
apim-landing-zone-accelerator
The Azure API Management landing zone accelerator provides an architectural approach and reference implementation to prepare landing zone subscriptions for a secure API Management infrastructure.
Azure-Analytics-and-AI-Engagement
Azure Analytics and AI Engagement
azure-search-power-skills
A collection of useful functions to be deployed as custom skills for Azure Cognitive Search
azure-search-vector-samples
A repository of code samples for Vector search capabilities in Azure AI Search.
azure-vector-database-samples
A collection of samples to demonstrate vector search capabilities using different Azure tools like Azure AI Search, PostgreSQL, Redis etc.
azure-video-indexer-samples
Contains the Azure Media Services Video Indexer samples
azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
communication-services-AI-customer-service-sample
A sample app for the customer support center running in Azure, using Azure Communication Services and Azure OpenAI for text and voice bots.
communication-services-python-quickstarts
Sample code for Azure Communication Services Python quickstarts
dream-team
This repo helps you to build a team of AI agents with Autogen
Fabric-Conf-2024-Build-AI-Apps
Session demos for Build AI Apps at Fabric Conference 2024
langchain
🦜🔗 Build context-aware reasoning applications
multimodal-rag-code-execution
A multimodal Retrieval Augmented Generation with code execution capabilities. Process multiple complex documents with images, table, charts to distill insights or generate new documents.
Phi-3CookBook
This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.
project-oagents
Experimental AI Agents Framework
promptflow
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
rag-data-openai-python-promptflow
A copilot sample that uses python to ground the copilot responses in company data.
rag-experiment-accelerator
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.
rag-semantic-kernel-mongodb-vcore
A sample for implementing retrieval augmented generation using Azure Open AI to generate embeddings, Azure Cosmos DB for MongoDB vCore to perform vector search, and semantic kernel.
rag-with-phi-2-and-langchain
Retrieval Augmented Generation demo using Microsoft's phi-2 LLM and langchain
semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps