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Harness the power of MongoDB Atlas and Amazon Web Service’s (AWS) to build sophisticated, enterprise-ready intelligent applications. Integrate AWS with the versatility of a document model and native Vector Search to ensure scalability, and security.- Latest
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Enhancing Developer Experience with AWS and MongoDB: Insights from Igor Alekseev
✅ Try MongoDB 8.0 → https://mdb.link/dG7t8KCP-as ✅ Sign-up for a free cluster → https://mdb.link/dG7t8KCP-as-free - In this episode, we catch up with Igor, Principal Partner Solutions Architect from AWS, as he shares insights on the collaboration between AWS and MongoDB. With a focus on enhancing developer experiences, we discuss the latest advancements in Amazon Q Developer, AI-driven migration and modernization tools, and the integration of MongoDB Atlas with AWS services.
Nov 11, 2024
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Building AI Services with FastAPI & Bedrock
✅ MongoDB Atlas account → https://mdb.link/KL8CAm6Eoks-register ✅ Get help on our Community Forums → https://mdb.link/KL8CAm6Eoks-forums ✅ Writen article → https://mdb.link/KL8CAm6Eoks-article - We'll go through a FARM (FastAPI, React & MongoDB) stack application that I built that does multi-modal search to find images using MongoDB's vector search indexes. I'll talk about some of the tricky things in the implementation, and how to work with Bedrock from asyncio applications.
Aug 15, 2024
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Building Gen AI Applications with MongoDB Atlas and Amazon Bedrock
✅ Sign-up for a free cluster at → https://mdb.link/LbjD4UMw2JQ-register ✅ Get help on our Community Forums → https://mdb.link/LbjD4UMw2JQ-forums - MongoDB Atlas and Amazon Bedrock together offer a seamless and secure way to bring real-time data to gen AI applications and help startups move from ideation to scale. In this session, we’ll give a brief overview of the MongoDB Atlas and Amazon Bedrock joint solution which gives startups who want to easily build applications with generative AI an “easy button” for implementing RAG with Atlas Vector Search. Our local experts will also answer questions. Users can walk away expecting to know the basics of how to build applications that: Leverage unstructured data for valuable insights Deliver personalized, gen AI-powered experiences Provide intelligent, context-aware search and recommendation features Join MongoDB for Startups and AWS Activate for access to free credits, technical guidance, and more.
Jul 19, 2024
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Unlocking AI Potential with AWS
✅ Sign-up for a free cluster at → https://mdb.link/YRW6W986jz4-register ✅ Get help on our Community Forums → https://mdb.link/YRW6W986jz4-forums - Join Jesse Hall as he talks with Igor Alekseev from AWS about the latest in AI technology and AWS's innovative solutions. Igor, a partner solutions architect at AWS, delves into the details of Bedrock and its new capabilities, including automated embedding generation and integration with MongoDB. Learn about the practical applications of these technologies, the importance of model optimization, and the future of AI in this informative discussion. Whether you're a developer or a tech enthusiast, this episode provides valuable insights into the evolving world of AI.
Jul 11, 2024
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AWS and Generative AI - Services, Deployments and RAG with Bedrock
✅ Register for Atlas - https://mdb.link/xgqrVhUoey4-register ✅ Vector Search - https://mdb.link/xgqrVhUoey4-vector - In this episode, Shane Mc Allister is joined by David Min and Rustem Feyzkhanov to explore a range of approaches for deploying pretrained LLM models to AWS cloud using SageMaker JumpStart, SageMaker SDK and AWS Copilot. In addition, we'll showcase how to leverage Retrieval Augmented Generation (RAG) with MongoDB Atlas, Vector Search, and Amazon Bedrock. To bring these concepts to life, we'll swiftly showcase demos illustrating the deployment process for a generative AI model using SageMaker JumpStart and AWS Copilot and how to enable natural language queries to extract more value and insights from your data.
Mar 19, 2024
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Build Your Own Vector Search with MongoDB Atlas and Amazon SageMaker
✅ Register for Atlas - https://mdb.link/NWdqFA5PTXI-register ✅ Article Part 1 - https://mdb.link/NWdqFA5PTXI-part1 ✅ Article Part 2 - https://mdb.link/NWdqFA5PTXI-part2 - Have you heard about machine learning, models, and AI but don't quite know where to start? Do you want to search your data semantically? Are you interested in using vector search in your application? Then you’ve come to the right place! This livestream will introduce you to MongoDB Atlas Vector Search and Amazon SageMaker, and how to use both together to semantically search your data.
Feb 06, 2024
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Introducing MongoDB with Amazon CodeWhisperer
Join us for this livestream to hear about how to elevate your development journey with MongoDB Atlas and Amazon CodeWhisperer. Unleash productivity, speed, and innovation through AI-driven code assistance. Amazon CodeWhispererer with a MongoDB-trained foundational model streamlines development, prototyping, and experimentation, all with less time coding. Register for Atlas - https://mdb.link/CCAtlas19 MongoDB & CodeWhisperer - https://mdb.link/MDB&CW Learn More - https://mdb.link/CWGetStarted
Nov 10, 2023
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Build an AWS Lambda Serverless function with PyMongo & MongoDB
✅ Sign-up for a free cluster at → https://mdb.link/free--ZSKyLspT3Q ✅ Get help on our Community Forums → https://mdb.link/community--ZSKyLspT3Q Follow along as MongoDB Developer Advocate Anaiya Raisinghani explains how to use AWS Lambda with PyMongo, MongoDB's Python Driver! This tutorial will take you through setting up an Atlas Cluster, establishing an AWS Lambda function, connecting the cluster to Lambda, and loading in/reading back specific information. Watch through the end for information on utilizing MongoDB's Aggregation Pipeline structure. 🔗 Resources 🔗 ✅ For an article format of this video along with code samples, please view our Developer Center → https://mdb.link/article--ZSKyLspT3Q ✅ Connect with Anaiya → https://www.linkedin.com/in/anaiyaraisinghani/ ✅ View more of Anaiya's content → https://www.mongodb.com/developer/search/?s=anaiya+raisinghani&sortMode=0 ------ Don't forget to like, share, and subscribe for more awesome tutorials! 🙌 ✅ Subscribe to our channel → https://mdb.link/subscribe
Sep 25, 2023
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Build an AWS Lambda Serverless function with Java and MongoDB
✅ Sign-up for a free cluster at → https://mdb.link/free-hMlUrnx9n84 ✅ Get help on our Community Forums → https://mdb.link/community-hMlUrnx9n84 👋 Hey there, welcome to this tutorial on Serverless Development with AWS Lambda and MongoDB Atlas using Java! If you're looking to build a scalable application without the hassle of managing infrastructure, you're in the right place. 🔍 What You'll Learn 🔍 → Set up a serverless function using AWS Lambda and Java → Connect your Lambda function to MongoDB Atlas → Best practices for dependency management with Gradle → Query data from MongoDB within your serverless function 🛠 Prerequisites 🛠 → AWS Lambda compatible version of Java → MongoDB Atlas instance deployed and configured → Amazon Web Services (AWS) account → Gradle or Maven for dependency management 📝 Key Takeaways 📝 → Cost-Efficiency: Serverless functions auto-scale, saving you from unnecessary infrastructure costs → Elasticity: MongoDB Atlas pairs perfectly with AWS Lambda's serverless architecture → Code Reusability: Learn how to write reusable MongoDB queries in Java → Security: Use environment variables for sensitive information like MongoDB Atlas URI → Deployment: Step-by-step guide to deploy your Java application to AWS Lambda 👀 Sample Code: We'll walk you through boilerplate AWS Lambda code for Java and Gradle tasks for building your project. You'll also learn how to query MongoDB collections based on user input. 🔗 Resources 🔗 ✅ Written article with code snippets → https://mdb.link/article-hMlUrnx9n84 ⏱️ Timestamps ⏱️ 00:00 - Intro 01:38 - Create a New Java Application 02:05 - Adding Gradle Dependencies for AWS Lambda and MongoDB 03:27 - Configure the Fat Jar in Gradle 04:47 - Create an AWS Lambda Function with Java 06:03 - Connect to MongoDB in Java 10:36 - Querying MongoDB in an AWS Lambda Function 13:58 - Build a Fat Jar of the AWS Lambda Application 14:38 - Navigating the AWS Lambda Dashboard 17:18 - Adding Match Criteria to a MongoDB Query 20:03 - A Review of the Project ------ Don't forget to like, share, and subscribe for more awesome tutorials! 🙌 ✅ Subscribe to our channel → https://mdb.link/subscribe
Sep 25, 2023
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Build an AWS Lambda Serverless function with Kotlin and MongoDB
✅ Sign-up for a free cluster at: https://mdb.link/free-lQ6g3QTf4eA ✅ Get help on our Community Forums: https://mdb.link/community-lQ6g3QTf4eA Learn how to build an AWS Lambda function with Kotlin that interacts with MongoDB and uses the Kotlin driver for MongoDB. 📚 Resources 📚 Gain access to the code from this video and a written set of instructions by navigating to this tutorial on the Developer Center: https://mdb.link/article-with-code-lQ6g3QTf4eA ------ ✅ Subscribe to our channel → https://mdb.link/subscribe
Sep 07, 2023