AI
Sign in to follow topics
Featured
All AI Content
- Latest
- Highest Rated
Tutorial
Building an AI Agent With Semantic Kernel, C#, OpenAI, and MongoDB Atlas
Learn how to easily create an AI agent application using MongoDB Atlas, Microsoft’s Semantic Kernel, C#, and OpenAI with Developer Advocate Luce Carter.Jan 14, 2025
Tutorial
Movie Score Prediction with BigQuery, Vertex AI, and MongoDB Atlas
We're using BigQuery, Vertex AI, and MongoDB Atlas to predict a categorical variable using a Supervised Machine Learning Model created with AutoML.Jan 13, 2025
(+1)
Video
PydanticAI and The Future of AI Agents
✅ Try MongoDB 8.0 → https://mdb.link/2HPQKIGwQV0 ✅ Sign-up for a free cluster → https://mdb.link/2HPQKIGwQV0-free ✅ GitHub repository → https://github.com/mongodb-developer/GenAI-Showcase/blob/main/notebooks/agents/ai_agent_with_pydanticai_and_mongodb.ipynb - Discover how to implement an AI Agent using one of the latest frameworks PydanticAI. In this session, we will explore how to leverage Pydantic AI to implement an AI Agent, with Agentic RAG capabilities and access to the internet to handle queries. We will also explore what the future of AI Agents and Agentic Systems looks like in 2025 and beyond.Jan 08, 2025
Video
How AI is Changing RevOps, a Story of MopsAI
✅ Try MongoDB 8.0 → https://mdb.link/p2YpbOrZy80 ✅ Sign-up for a free cluster → https://mdb.link/p2YpbOrZy80-register ✅ Subscribe to MongoDB YouTube → https://mdb.link/subscribe - Based on MongoDB's own experience in leveraging AI to streamline RevOps processes, we believe that by integrating Atlas vector search into tools, developers can significantly enhance their workflows and drive innovation. By adopting AI skills and understanding the potential of large language models, developers can create more intelligent and efficient solutions for the future of marketing and sales. Join us as Shane McAllister talks to Fabio Falavinha, Senior Software Development Engineer at MongoDB, to learn more about how Atlas Vector Search can help.Jan 06, 2025
Tutorial
How to Deploy Vector Search, Atlas Search, and Search Nodes With the Atlas Kubernetes Operator
Learn how to deploy MongoDB Atlas Vector Search, Atlas Search, and Search Nodes using the Atlas Kubernetes Operator. This tutorial covers step-by-step instructions to integrate advanced search capabilities into Kubernetes clusters, enabling scalable, high-performance workloads with MongoDB Atlas.Dec 20, 2024
(+1)
Article
Harnessing Natural Language for MongoDB Queries With Google Gemini
By integrating MongoDB Atlas with Vertex AI Extensions, we offer a solution that enhances the accessibility and usability of the database.Dec 13, 2024
(+1)
Video
What does Aperol Spritz have to do with MongoDB??
Let's find the closest Aperol spritz to you with MongoDB geospatial queries and Atlas Vector Search.Dec 12, 2024
Article
Building a Foreign Correspondent With MongoDB, Anthropic's Claude, Python
Join guest author Marko Aleksendric to learn how to use MongoDB, Anthropic's Claude and Python to create a simple web application aimed to help a virtual friend in a foreign country translate the local news items.Dec 09, 2024
Video
❓PostgreSQL vs. MongoDB for GenAI
Find out which data model — RDBMS or document — is better suited for large, complex, generative AI workloads.Dec 04, 2024
Video
PostgreSQL vs. MongoDB: Which Is Better for GenAI?
✅ Github - https://mdb.link/_zg90Rb9S2M - Find out which data model — RDBMS or document — is better suited for large, complex, generative AI workloads. In this video, we compare PostgreSQL and MongoDB to see which handles Generative AI (GenAI) workloads better. We look at their data models, storage engines, and how they manage large, complex data typical in GenAI applications. Through benchmark tests, we show their efficiency in processing large documents and multi-attribute data, helping you choose the right database for your AI projects.Dec 04, 2024