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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Part #2: Create Your Model Endpoint With Amazon SageMaker, AWS Lambda, and AWS API Gateway
In this series, we look at how to use Amazon SageMaker and MongoDB Atlas Vector Search to semantically search your data.Sep 18, 2024
Tutorial
Part #3: Semantically Search Your Data With MongoDB Atlas Vector Search
In this series, we look at how to use Amazon SageMaker and MongoDB Atlas Vector Search to semantically search your data.Sep 18, 2024
Tutorial
Part #1: Build Your Own Vector Search with MongoDB Atlas and Amazon SageMaker
In this series, we look at how to use Amazon SageMaker and MongoDB Atlas Vector Search to semantically search your data.Sep 18, 2024
Article
Using AWS Rekognition to Analyse and Tag Uploaded Images
Learn how to use Rekognition along with Realm to supplement new content with information as it is inserted into the database.Sep 11, 2024
Tutorial
Integrate Atlas Application Services Logs Into Datadog on AWS
With the Log Forwarding feature, you can send Atlas App Services logs to Datadog. Learn the configuration steps as well as strategies for customizing the view.Sep 09, 2024
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Article
Audio Find - Atlas Vector Search for Audio
Explore the creation of a music catalog system that leverages the power of MongoDB Atlas's vector search and a Python service for sound embedding.Sep 09, 2024
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Tutorial
Interact With MongoDB in an AWS Lambda Function Using Go
Learn how to create a serverless function using the Go programming language. That function will connect to and query MongoDB Atlas in an efficient manner.Aug 29, 2024
Article
How to Build Serverless Applications with SST and MongoDB Atlas
The developer experience is at a point where itโs easy to build full-stack applications with serverless. Let's look at a new way of building serverless apps.Aug 29, 2024