Ai agent mongodb. Adjust the volume on the video player to unmute.
Ai agent mongodb js and MongoDB. Learn step-by-step implementation, from environment setup to agent configuration, and unlock the potential of scalable Welcome to MongoDB's Generative AI Showcase Repository! Whether you are just starting out on your Generative AI journey, or looking to build advanced GenAI applications, we've got you covered. Key components of an AI-powered traveling agent. This Sentiment Chef Agent App with Google Cloud and MongoDB Atlas In the competitive customer service industry, extracting meaningful insights from customer reviews is challenging. Our team developed Sentiment Chef, an intelligent restaurant agent that goes beyond basic review analysis by leveraging Google Cloud and MongoDB Atlas. This step-by-step guide will show you how to create AI-driven applications capable of remembering conversations, accessing databases, and delivering smart responses. Enhance the AI Agent: Customize the prompt in the "AI Agent - Movie Recommendation" node; Modify the window buffer memory size based on your context needs; Add additional tools for more functionality; Extend Functionality: Add more MongoDB operations beyond aggregation; Implement additional workflows for different types of queries Jun 9, 2025 · 🔥 What You'll Learn: How to use the OpenAI Agents SDK for TypeScript Implementing MongoDB as a memory system for AI agents Building agents that maintain conversation context Creating personalized AI assistants that learn from interactions TypeScript-first development with strong typing support ⚡ Key Features Covered: Agent loops and . Nov 18, 2024 · Building scalable AI multi-agent systems is easy with BuildShip and MongoDB. Building AI Agents with Memory Train Your AI Agent: Upload datasets to MongoDB that your AI agent will use for training. The MongoDB document model enables native storage and retrieval of structured, semi-structured, and unstructured data, and it seamlessly handles diverse and complex datasets. Testing: Use Stack AI's testing tools to simulate interactions with your AI agent. I will use OpenAI’s GPT-4, which has powerful natural language processing capabilities, along A Python-based AI agent designed to interact with MongoDB using natural language queries. Adjust the volume on the video player to unmute. The tool integration for memory, web search, and multi-session conversations is super handy. Sep 18, 2024 · Discover how to build powerful multi-agent AI systems using AutoGen and MongoDB. This guide explores the integration of Microsoft's AutoGen framework with MongoDB's Atlas Vector Search, enabling efficient retrieval-augmented generation (RAG) and collaborative AI agents. Video is muted due to browser restrictions. This tutorial will guide you on how to build an AI agent using LangGraph. Dive into the integration of Claude Assistant with MongoDB Atlas to deliver powerful conversational AI. Jun 26, 2024 · A casual stream with the viewers building a simple AI pipeline using MongoDB. Step 4: Test and Deploy Your AI Agent. No prep needed, use an existing notebook / code base. Thanks for sharing the GitHub link—makes it easy to follow! Mar 3, 2025 · In this blog post, I will show you how to create a Non-SQL MongoDB agent using OpenAI and LangChain. This repository has an exhaustive list of examples and sample applications that cover Retrieval-Augmented Generation (RAG), AI Agents, and industry Nov 28, 2024 · With winter on its way, there is no better time to think about comforting food on those cold nights. Feb 17, 2025 · In this article, I’ll walk you through how I’ve built a chatbot using Azure OpenAI models and agents to interact with MongoDB and convert user queries into MongoDB queries. May 23, 2025 · These work hand-in-hand with the AI Agent Tooling in n8n, allowing natural language queries to drive powerful, database-integrated automations. MongoDB empowers AI agents to react dynamically to new information, maintain internal states in real-time, and continuously learn and evolve. Discover backend data aggregation and frontend interactivity for an engaging user experience. MongoDB Atlas: Our core database, providing scalable storage, flexible data models, and powerful querying capabilities. Learn about the basics of AI agents, their role in the world of artificial intelligence and much more. ANNOUNCEMENT Voyage AI joins MongoDB to power more accurate and trustworthy AI applications on Atlas. Aug 12, 2024 · What is the primary function of MongoDB in the AI agent? MongoDB serves as the memory provider for the agent, storing conversational history, vector embedding data, and operational data. Sep 18, 2024 · Learn how to build a powerful AI agent using LangGraph. Key topics included: Constructing AI Agents powered by LLMs; Developing agentic systems for complex workflows Explore how MongoDB, Fireworks, and Langchain are transforming smart agent architectures for advanced, AI-powered applications ANNOUNCEMENT Voyage AI joins MongoDB to power more accurate and trustworthy AI applications on Atlas. Stack AI provides tools to facilitate the training process, allowing you to refine the agent's performance. It supports information retrieval through its vector database capabilities, enabling semantic searches between user queries and stored data. For this reason, in this tutorial, we are going to create an AI agent using Microsoft’s Semantic Kernel for C#, OpenAI, and MongoDB Atlas to help you decide whether you have the ingredients already to cook a meal you want to make, or whether you should just head to a cozy restaurant that is During this session, Staff Developer Advocate Richmond Alake explored the transformative impact of AI agents and agentic systems, providing invaluable insights and hands-on examples to help you build powerful AI-driven applications. Perfect for JavaScript developers looking to integrate AI into their web apps. This project leverages the Groq API and provides a user-friendly interface built with Streamlit. Dec 20, 2024 · Fantastic guide! Loved how you broke down building an AI agent with OpenAI, Langgraph, and MongoDB. Simply input your query in natural language, and the agent will return the results in a chat format. oyzfhnzsmerfrhjmguwvbkuhmrcrmtxcezqfhzbwvqekbhojwsjth