Pinned Loading

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 9 4

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 6

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 16 7

4. Azure-AI-Search-Vector-Store-LangChain-RAG-Pattern-with-Jira Azure-AI-Search-Vector-Store-LangChain-RAG-Pattern-with-Jira Public

   This project combines Azure AI Search, Azure OpenAI Service, LangChain, React.JS, and Python FastAPI to create an intelligent system for managing Jira issues. It features advanced AI search for sea…

   JavaScript 5 1

5. Azure-AI-RAG-Architecture-React-FastAPI-and-Cosmos-DB-Vector-Store Azure-AI-RAG-Architecture-React-FastAPI-and-Cosmos-DB-Vector-Store Public

   This project demonstrates deploying a secure, scalable Generative AI (GenAI) solution on Azure using a Retrieval-Augmented Generation (RAG) architecture and Azure best practices. Leveraging CosmosD…

   Bicep 2

6. Azure-AI-RAG-CSharp-Semantic-Kernel-Functions Azure-AI-RAG-CSharp-Semantic-Kernel-Functions Public

   This repository offers a solution for deploying a Generative AI (GenAI) system on Azure using Retrieval-Augmented Generation (RAG). It features a RAG Chat API integrated with CosmosDB and HTML file…

   Bicep