chrey-ai
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ai-agents-for-beginners
ai-agents-for-beginners PublicForked from microsoft/ai-agents-for-beginners
10 Lessons to Get Started Building AI Agents
Jupyter Notebook
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build-your-first-agent-with-azure-ai-agent-service-workshop
build-your-first-agent-with-azure-ai-agent-service-workshop PublicForked from microsoft/build-your-first-agent-with-azure-ai-agent-service-workshop
Build your first agent with Azure AI Agent Service Workshop
Bicep
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MultiAgent_Azure_PostgreSQL_AutoGen0.4
MultiAgent_Azure_PostgreSQL_AutoGen0.4 PublicForked from mehrsa/MultiAgent_Azure_PostgreSQL_AutoGen0.4
Jupyter Notebook
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openai-cua-sample-app
openai-cua-sample-app PublicForked from openai/openai-cua-sample-app
Learn how to use CUA (our Computer Using Agent) via the API on multiple computer environments.
Python
Repositories
- agent-openai-python-banking-assistant Public Forked from Azure-Samples/agent-openai-python-banking-assistant
Multi-agent banking assistant with Python and Semantic Kernel Agent Framework
chrey-ai/agent-openai-python-banking-assistant’s past year of commit activity - banking-multi-agent-workshop Public Forked from AzureCosmosDB/banking-multi-agent-workshop
A multi-agent sample and workshop for a retail banking scenario. Implemented in both C# using Semantic Kernel Agents and Python using LangGraph and Angular as Frontend!
chrey-ai/banking-multi-agent-workshop’s past year of commit activity - agent-framework Public Forked from microsoft/agent-framework
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
chrey-ai/agent-framework’s past year of commit activity - AI-Landing-Zones Public Forked from Azure/AI-Landing-Zones
The AI Landing Zone is a secure, resilient and scalable reference architecture and reference implementation in the form of bicep, terraform and portal
chrey-ai/AI-Landing-Zones’s past year of commit activity - GPT-RAG Public template Forked from Azure/GPT-RAG
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 Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
chrey-ai/GPT-RAG’s past year of commit activity - multimodal-rag-code-execution Public Forked from Azure-Samples/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.
chrey-ai/multimodal-rag-code-execution’s past year of commit activity - gpt-rag-ui Public Forked from Azure/gpt-rag-ui
This repository provides the user interface for the GPT-RAG solution, enabling seamless interaction with the Orchestrator backend. Built with Chainlit, it supports customization, theming, and ensures a smooth end-user experience.
chrey-ai/gpt-rag-ui’s past year of commit activity
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