This project implements an agentic system for predictive maintenance using MongoDB, AWS Bedrock, LangGraph.js and Next.js.

This repository contains a demo application showcasing the use of AI-driven alternative credit scoring. It leverages generative AI to explain credit card application rejections and provides tailored credit product recommendations using MongoDB Vector Search.

Leafy Bank UI is the graphical user interface for our demo banking application, showcasing the integration of MongoDB's powerful features tailored for Financial Services.

The demo showcases how MongoDB can revolutionize call center operations for insurance companies by converting call recordings into searchable vectors. This transformation allows agents to quickly access relevant information, improving customer service and enhancing customer satisfaction.

UI for Content Lab demo, showcasing how to streamline editorial operations with GenAI and MongoDB.

Transform your driving experience with an AI-powered in-car voice assistant that delivers context-aware interactions, real-time diagnostics, and personalized recommendations.

This demo showcases a store associate application built on MongoDB Atlas, created to streamline product discovery and inventory visibility as part of a unified commerce strategy.

Design, optimize, and test MongoDB data models for connected vehicle applications using the Vehicle Signal Specification (VSS). This tool provides a visual interface to map VSS schemas, define use cases, and generate performant database structures for automotive data solutions.

This repository houses a complete Business Loan Risk Assessment demo, showcasing how to leverage MongoDB's multimodal capabilities and GenAI to evaluate loan risks.