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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Enhancing Developer Experience with AWS and MongoDB: Insights from Igor Alekseev
โ ย Try MongoDB 8.0 โย https://mdb.link/dG7t8KCP-as โ ย Sign-up for a free cluster โย 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 | 14 min
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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
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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
Tutorial
How to Deploy MongoDB Atlas with AWS CloudFormation
Learn how to quickly and easily deploy MongoDB Atlas instances with Amazon Web Services (AWS) CloudFormation.
Mar 20, 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
Video
Build Your Own Vector Search with MongoDB Atlas and Amazon SageMaker
โ Register for Atlas - https://mdb.link/NWdqFA5PTXI-register โ Article Part 1 - https://mdb.link/NWdqFA5PTXI-part1 โ 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 youโve 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
