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
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.
Jun 24, 2024 | 16 min read
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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.Jun 24, 2024
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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/Jun 20, 2024
Article
Harnessing Natural Language for MongoDB Queries With Google Gemini
By integrating MongoDB Atlas with Vertex AI Extensions, we offer a solution that enhances the accessibility and usability of the database.Apr 23, 2024
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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.Apr 02, 2024
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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.Apr 02, 2024
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Tutorial
Push Notifications Using Atlas App Services & iOS Realm SDK
Use our Atlas App Services application to create a complete push notification system that fits our business logic.Apr 02, 2024
Tutorial
Start Implementing Google Auth With MongoDB Realm in Your Android App
Getting Started with MongoDB Realm and Implementing Google Authentication in Your Android AppMar 13, 2024
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.Feb 08, 2024
Tutorial
Orchestrating MongoDB & BigQuery for ML Excellence with PyMongoArrow and BigQuery Pandas Libraries
Orchestrating MongoDB & BigQuery for ML Excellence with PyMongoArrow and BigQuery Pandas LibrarieFeb 08, 2024
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