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1. LangChain-RAG-Pattern-with-React-FastAPI-and-Cosmos-DB-Vector-Store LangChain-RAG-Pattern-with-React-FastAPI-and-Cosmos-DB-Vector-Store Public

   Complete project (web, api, data) covering the implementation of the RAG (Retrieval Augmented Generation) pattern using Azure Cosmos DB for MongoDB vCore and LangChain. The RAG pattern combines lev…

   Python 14 6

2. LLM-Performance-with-Azure-Cosmos-DB-Semantic-Cache LLM-Performance-with-Azure-Cosmos-DB-Semantic-Cache Public

   Enhance LLM retrieval performance with Azure Cosmos DB Semantic Cache. Learn how to integrate and optimize caching strategies in real-world web applications.

   Python 7

3. Travel-AI-Agent-React-FastAPI-and-Cosmos-DB-Vector-Store Travel-AI-Agent-React-FastAPI-and-Cosmos-DB-Vector-Store Public

   Explores the implementation of a LangChain Agent using Azure Cosmos DB for MongoDB vCore to handle traveler inquiries and bookings. The project provides detailed instructions for setting up the env…

   Python 23 14

4. DataSage-Azure-AI-QnA-LangGraph-SQLDB DataSage-Azure-AI-QnA-LangGraph-SQLDB Public

   DataSage is an AI-powered question-answering system for tabular (SQL) data, leveraging Azure AI Foundry, LangGraph, Azure SQL DB, and Streamlit. It enables users to query databases using natural la…

   Bicep 4 1

5. azure-ai-foundry-agentic-workshop azure-ai-foundry-agentic-workshop Public

   Workshop for building intelligent AI solutions using Azure AI Foundry, featuring Vector Search, RAG, Agentic AI, and multi-agent orchestration with LangChain and Azure AI Search.

   Jupyter Notebook 16 8

6. Azure-AI-Foundry-Semantic-Kernel-RAG Azure-AI-Foundry-Semantic-Kernel-RAG Public

   Demonstrates an end-to-end conversational knowledge agent using Azure AI Foundry and Semantic Kernel, featuring a primary HR agent with Azure AI Search and supporting agents for observability and m…

   Bicep