Harness the power of MongoDB Atlas and Amazon Web Serviceโs (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.
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Video
Building AI Services with FastAPI & Bedrock
โ MongoDB Atlas account โ https://mdb.link/KL8CAm6Eoks-register โ Get help on our Community Forums โ https://mdb.link/KL8CAm6Eoks-forums โ Writen article โ 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
Tutorial
Getting Started With MongoDB Atlas Serverless, AWS CDK, and AWS Serverless Computing
Build an app that aggregates sales data stored in an Atlas serverless instance using AWS Lambda and Amazon API Gateway to create a RESTful API interface.
Aug 09, 2024
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Video
Building Gen AI Applications with MongoDB Atlas and Amazon Bedrock
โ Sign-up for a free cluster at โ https://mdb.link/LbjD4UMw2JQ-register โ Get help on our Community Forums โ 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, weโll 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 โeasy buttonโ 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
Video
Unlocking AI Potential with AWS
โ Sign-up for a free cluster at โ https://mdb.link/YRW6W986jz4-register โ Get help on our Community Forums โ 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
Quickstart
MongoDB With Bedrock Agent: Quick Tutorial
This notebook demonstrates how to integrate MongoDB with AWS Bedrock to build AI agents. It covers setting up the environment, configuring the database, and creating an AI agent using AWS Bedrock services, with practical examples and code snippets.Jul 01, 2024
Article
MongoDB Orchestration With Spring & Atlas Kubernetes Operator
Learn how to use Spring application in production using Atlas Kubernetes Operator.Jun 12, 2024
Tutorial
Launch a Fully Managed RAG Workflow With MongoDB Atlas and Amazon Bedrock
Atlas Vector Search and Amazon Bedrock enable the vector database capabilities of Atlas to bring up-to-date context to Foundational Model outputs.May 08, 2024
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Tutorial
Developing Alexa Skills with MongoDB and Golang
Learn how to develop Amazon Alexa Skills that interact with MongoDB using the Go programming language and AWS Lambda.
Apr 03, 2024
Tutorial
How to Use PyMongo to Connect MongoDB Atlas with AWS Lambda
Learn how to leverage the power of AWS Lambda and MongoDB Atlas in your applications.
Apr 02, 2024
Video
AWS and Generative AI - Services, Deployments and RAG with Bedrock
โ Register for Atlas - https://mdb.link/xgqrVhUoey4-register โ 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