#Azure-ai-search
Showing 7 of 7 repositories tagged #azure-ai-search, ranked by stars
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
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.
A creative writing multi-agent solution to help users write articles.
A creative writing multi-agent solution to help users write articles using Aspire and Semantic Kernel
Resources for the AI Tour Talk on "Advanced Retrieval for your AI Apps and Agents" on Azure - slides, talk recording, demo recording, demo setup instructions.
This repository offers a Python framework for a retrieval-augmented generation (RAG) pipeline using text and images from MHTML documents, leveraging Azure AI and OpenAI services. It includes ingestion and enrichment flows, a RAG with Vision pipeline, and evaluation tools.
🧠 Stop building AI that forgets. Master MCP (Model Context Protocol) with production-ready semantic memory, hybrid RAG, and the WARNERCO Schematica teaching app. FastMCP + LangGraph + Vector/Graph stores. Your AI assistant's long-term memory starts here.