jonathanscholtes

Auzre-Databricks-AutoML

Train, Track and Deploy Regression Model with Databricks, MLFlow and Azure Machine Learning Service

Azure-AI-CustomerChurn-Hack

Azure AI Customer Churn Workshop and Hackathon

Azure-AI-Search-Vector-Store-LangChain-RAG-Pattern-with-Jira

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 seamless document retrieval, a user-friendly React.JS front-end, and a robust Python FastAPI back-end.

Azure-Streaming-Hackathon

Hackathon to develop cold path and hot path Azure architecture

Azure_Databricks_ImageProcessing

AzureDatabricksNOAA

Heuristics-based-Text-Extraction-for-Piping-and-Instrumentation-Diagrams

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

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 leverages the new vector search capabilities for Azure Cosmos DB.

LLM-Performance-with-Azure-Cosmos-DB-Semantic-Cache

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

Travel-AI-Agent-React-FastAPI-and-Cosmos-DB-Vector-Store

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 environment and loading travel data, aiming to empower developers to integrate similar agents into their solutions.

jonathanscholtes/Azure-AI-RAG-Architecture-React-FastAPI-and-Cosmos-DB-Vector-Store

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 CosmosDB, Azure OpenAI, and a React + Python FastAPI framework, it ensures efficient data retrieval, security, and an intuitive user experience.

jonathanscholtes/rag-project-dev

jonathanscholtes/Azure-AI-Search-Vector-Store-LangChain-RAG-Pattern-with-Jira

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 seamless document retrieval, a user-friendly React.JS front-end, and a robust Python FastAPI back-end.

jonathanscholtes/Faster-R-CNN-PyTorch-Damage-Detection

End-to-end solution for container and damage detection using Faster R-CNN | Leverages PyTorch with VGG16 and ResNet50 backbones to tackle container detection and damage assessment in shipping and logistics

jonathanscholtes/azure-docs

Open source documentation of Microsoft Azure

jonathanscholtes/Travel-AI-Agent-React-FastAPI-and-Cosmos-DB-Vector-Store

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 environment and loading travel data, aiming to empower developers to integrate similar agents into their solutions.

jonathanscholtes/Azure-Streaming-Hackathon

Hackathon to develop cold path and hot path Azure architecture

jonathanscholtes/LLM-Performance-with-Azure-Cosmos-DB-Semantic-Cache

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

jonathanscholtes/LangChain-RAG-Pattern-with-React-FastAPI-and-Cosmos-DB-Vector-Store

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 leverages the new vector search capabilities for Azure Cosmos DB.

jonathanscholtes/Azure-AI-TurboFan-Examples

jonathanscholtes/Azure_Synapse_Test

jonathanscholtes/Azure-Databricks-Cost-Analysis

jonathanscholtes/AzureFunctionParseXml

Samples Azure Function to Parse XMl files to JSON using Blob Trigger

jonathanscholtes/AzureML-Examples

jonathanscholtes/Azure-Machine-Learning-R-Examples-Predicting-Remaining-Useful-Life-of-TurboFan

jonathanscholtes/Heuristics-based-Text-Extraction-for-Piping-and-Instrumentation-Diagrams

jonathanscholtes/PID

jonathanscholtes/azure-search-power-skills

A collection of useful functions to be deployed as custom skills for Azure Cognitive Search

jonathanscholtes/azure-sql-mi-monitoring

Monitoring Azure SQL MI with Azure SQL Analytics

jonathanscholtes/Azure-AI-CustomerChurn-Hack

Azure AI Customer Churn Workshop and Hackathon

jonathanscholtes/Azure-FarmBeatsLabModule

jonathanscholtes/Auzre-Databricks-AutoML

Train, Track and Deploy Regression Model with Databricks, MLFlow and Azure Machine Learning Service

jonathanscholtes/AzureDatabricksNOAA

jonathanscholtes/Azure-Automated-ML-Workshop

Azure Automated ML Workshop

jonathanscholtes/Azure_Databricks_ImageProcessing