MongoDB AI technology page Top Builders

Explore the top contributors showcasing the highest number of MongoDB AI technology page app submissions within our community.

MongoDB: The Developer Data Platform

Get the latest and greatest with MongoDB 6.0! Build faster and smarter with a developer data platform built on the leading modern database. Whether you’re tackling transactional, search, analytics, or mobile use cases, MongoDB has you covered. Plus, enjoy a common query interface and a data model that developers love.

General
PlatformMongoDB
Repositoryhttps://github.com/mongodb/mongo
TypeNoSQL Database

Key features

Build Faster: Ship and iterate 3–5x faster using MongoDB’s document data model. Enjoy a unified query interface for any use case.

Scale Further: Whether it’s your first customer or 20 million users, meet your performance SLAs in any environment.

Safety first: Ensure high availability, protect data integrity, and meet security and compliance standards for mission-critical workloads.

Fully Managed in the Cloud: Start in seconds and scale to millions with MongoDB Atlas, our cloud services. Explore a multi-cloud developer data platform for various use cases, from transactional to analytical.

Mobile Real-Time Data at the Edge: Launch secure mobile apps with native, edge-to-cloud sync and automatic conflict resolution.

Self-Managed Option: Run MongoDB anywhere, from your laptop to your data center.

Community Edition: Our distributed document database is where it all began. Free forever with seamless migration to Atlas.

Enterprise Advanced: For robust features and support, consider the enterprise version.

Built by Developers, for Developers: MongoDB’s document data model maps to how developers think and code.

What You Can Do with MongoDB

It’s a flexible document data model that lets you ship and iterate faster. Enjoy a unified query interface for all use cases. Whether it’s your first customer or 20 million users worldwide, MongoDB ensures performance SLAs in any environment. Easily ensure high availability, protect data integrity, and meet security and compliance standards for your mission-critical workloads. Plus, MongoDB Atlas provides fully managed cloud services, and you can run it anywhere, from your laptop to your data center.

AI Tutorials


MongoDB AI technology page Hackathon projects

Discover innovative solutions crafted with MongoDB AI technology page, developed by our community members during our engaging hackathons.

meshop shop help me

meshop shop help me

MeShop is an innovative smart shopping platform that leverages the power of Large Language Models (LLMs) to revolutionize the online shopping experience. Our idea is to create a highly intuitive and user-friendly interface that understands customers' needs and preferences on a deeper level. Unlike traditional e-commerce platforms that rely on manual browsing and keyword searches, MeShop uses advanced natural language processing to interpret user queries, whether typed or spoken. This allows customers to describe their needs conversationally, just as they would to a knowledgeable shop assistant. The AI-driven system then scours the product database and the internet to provide relevant product suggestions, detailed information, and even fill the shopping cart automatically. This eliminates the frustration of endless scrolling and simplifies the decision-making process. MeShop's versatility extends to its accessibility. Customers can interact with the platform through various channels, including a web interface, popular messaging apps like Telegram and WhatsApp, or even via SMS for those with limited internet access. This multi-channel approach ensures that MeShop is available to a wide range of users, regardless of their preferred communication method or technological constraints. By combining cutting-edge AI technology with a user-centric design, MeShop aims to make online shopping more efficient, personalized, and enjoyable. It's not just a store; it's a smart shopping companion that understands and anticipates your needs.

Context-Aware-Geospatial-Data-Retrieval-using-LLM

Context-Aware-Geospatial-Data-Retrieval-using-LLM

Overview Our goal is to develop an advanced NLP system that leverages contextual understanding to interpret user queries and provide precise geospatial data. Aadheera is capable of handling both explicit and implicit geospatial information, ensuring that users receive relevant and accurate information in real-time. Key Features: Directions: Provides accurate routes and travel times for seamless navigation. Google Map Integration: Displays interactive maps to enhance visual understanding of routes and locations. Flight Availability: Checks flight availability for effective travel planning. Nearby Services: Finds local services like restaurants and plumbing nearby. Local Events: Discovers local events, keeping users informed about activities in their area. Weather Information: Retrieves current weather details to assist in activity planning. Local News: Fetches relevant local news updates. Location Searches: Searches for specific locations by name, delivering precise data. Technologies Used: NLP Models: Utilizes models like AI71 and Groq for processing queries, fine-tuned for implicit geospatial data extraction. Geospatial Tools & APIs: Google Maps API: Provides geocoding and map visualization. OpenCage Geocode: Offers enhanced geocoding services. SERP API: Supports searches for events, weather, and flights. Database Management: MongoDB: Maintains conversation histories for context-aware responses. Backend Framework: FastAPI: The backend is built using FastAPI, a modern and fast web framework for building APIs with Python. It is deployed on Hugging Face infrastructure, ensuring robust and scalable API management. Frontend Deployment: Vercel: The frontend is designed to display maps and geospatial data visually, enhancing user interaction and experience. It is deployed on Vercel, a platform optimized for frontend frameworks and static sites, ensuring fast and reliable performance.