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Build sophisticated, enterprise-ready intelligent applications with MongoDB Atlas and Google Cloud. Combine Google Cloud’s robust infrastructure with Atlas, a developer data platform, to ensure flexibility, scalability, and security.
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Tutorial

Build Smart Applications With Atlas Vector Search and Google Vertex AI

Leverage Atlas Vector Search to perform semantic search, Google Vertex AI for AI capabilities, and LangChain for integration to build smart applications....
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Google CloudVector SearchPythonAtlas

Sep 18, 2024 | 4 min read
Venkatesh Shanbhag (+1)
Tutorial

Sentiment Chef Agent App with Google Cloud and MongoDB Atlas

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Jun 24, 2024 | 16 min read
Video

Sentiment Chef Demo Walkthrough | MongoDB Atlas and Gemini

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Jun 20, 2024 | 7 min
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Tutorial

Build Smart Applications With Atlas Vector Search and Google Vertex AI

Leverage Atlas Vector Search to perform semantic search, Google Vertex AI for AI capabilities, and LangChain for integration to build smart applications.
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Sep 18, 2024
Venkatesh Shanbhag (+1)
Tutorial

Securely Connect MongoDB to Cloud-Offered Kubernetes Clusters

A high-level guide on how to securely connect MongoDB Atlas with the Kubernetes offerings from Amazon AWS, Google Cloud (GCP), and Microsoft Azure.
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Sep 09, 2024
Pavel Duchovny
Article

Introducing PSC Interconnect and Global Access for MongoDB Atlas

PSC is a cloud networking solution that provides access to services within a VPC. Read about support for PSC Interconnect and Global access for MongoDB.
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Aug 05, 2024
Stanimira Vlaeva (+1)
Tutorial

Sentiment Chef Agent App with Google Cloud and MongoDB Atlas

In the competitive customer service industry, extracting meaningful insights from customer reviews is challenging. Our team developed Sentiment Chef, an intelligent restaurant agent that goes beyond basic review analysis by leveraging Google Cloud and MongoDB Atlas. This smart platform interprets sentiments from text, images, and videos, providing comprehensive feedback summaries. Designed specifically for the restaurant industry, Sentiment Chef transforms multimodal review data into actionable insights, helping restaurant owners make informed decisions based on customer feedback.
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Jun 24, 2024
Stanimira Vlaeva (+1)
Video

Sentiment Chef Demo Walkthrough | MongoDB Atlas and Gemini

✅ Sign-up for a free cluster at → https://mdb.link/MYXszuADKp0-register - Sentiment - Chef is a project demonstrating sentiment analysis and summarization with Gemini Pro, feature extraction and tagging for images and videos with Gemini Pro Vision, full-text search with MongoDB Atlas Search and serverless workflow with MongoDB Atlas Triggers. (Links for, MongoDB website, etc): Try MongoDB Atlas - GitHubhttps://github.com/mongodb-developer/Google-Cloud-Sentiment-Chef/
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Jun 20, 2024
Tutorial

Create a Data Pipeline for MongoDB Change Stream Using Pub/Sub BigQuery Subscription

Learn how to set up a data pipeline from your MongoDB database to BigQuery using change streams and Google Cloud Pub/Sub.
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Apr 02, 2024
Venkatesh Shanbhag (+1)
Tutorial

Serverless MEAN Stack Applications with Cloud Run and MongoDB Atlas

In this blog, we'll see how Cloud Run and MongoDB come together to enable a completely serverless MEAN stack application development experience.
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Apr 02, 2024
Abirami Sukumaran (+1)
Tutorial

Synchronize Your Mobile Application With MongoDB Atlas and Google Cloud MySQL

Learn how to set up automated, automated, bi-directional synchronization of data from mobile devices to MongoDB Atlas and Google Cloud MySQL.
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Feb 08, 2024
Timothy Marland
Tutorial

Orchestrating MongoDB & BigQuery for ML Excellence with PyMongoArrow and BigQuery Pandas Libraries

Orchestrating MongoDB & BigQuery for ML Excellence with PyMongoArrow and BigQuery Pandas Librarie
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Feb 08, 2024
Venkatesh Shanbhag (+1)
Tutorial

Streaming Data from MongoDB to BigQuery Using Confluent Connectors

Learn how to set up a data pipeline from your MongoDB database to BigQuery using the Confluent connector.
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Jul 11, 2023
Venkatesh Shanbhag (+1)