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Deploying a Retrieval-Augmented Generation (RAG) solution on Azure, featuring a RAG Chat API that uses customer data and technical HTML files to enhance customer support troubleshooting. It leverages Azure AI Search for vector storage and Azure OpenAI for model inference, ensuring security, scalability, and adherence to best practices.
A native iOS app for chatting with Azure OpenAI's GPT models. Built with SwiftUI / SwiftData and featuring real-time streaming responses with Markdown support.
Majic Chat is an AI-powered tool that lets users upload and query documents (PDF) through a chat interface. It uses OpenAI embeddings and FAISS for document retrieval. The app is built with Streamlit, with a pure Python version available for non-UI environments.
A mock Azure OpenAI API for seamless testing and development, supporting both streaming and non-streaming responses. Easily emulate OpenAI completions with token-based streaming in a local or Dockerized environment.