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.
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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
BS
EO
Babu Srinivasan (+2)
Article
MongoDB Orchestration With Spring & Atlas Kubernetes Operator
Learn how to use Spring application in production using Atlas Kubernetes OperatorMay 06, 2024
Aasawari Sahasrabuddhe
Tutorial
The Great Continuous Migration: CDC Jobs With Kafka and Relational Migrator
This tutorial explains how to configure CDC jobs on your relational data from MySQL Workbench to MongoDB Atlas using MongoDB Relational Migrator and Confluent Cloud.May 02, 2024
Anaiya Raisinghani
Tutorial
Stream Data Into MongoDB Atlas Using AWS Glue
In this tutorial, find a tangible showcase of how AWS Glue, Amazon Kinesis, and MongoDB Atlas seamlessly integrate.Apr 16, 2024
BS
Babu Srinivasan
Tutorial
Interact with MongoDB in an AWS Lambda Function Using Go
In this tutorial, we'll see how to create a serverless function using the Go programming language and that function will connect to and query MongoDB Atlas in an efficient manner.Apr 03, 2024
Nic Raboy
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
Nic Raboy
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
Anaiya Raisinghani
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
Rutuja Rajwade
Video
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