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Video
What is MongoDB Atlas Search? How to help users find what they need
MongoDB’s Erik Hatcher (Staff Developer Advocate, Atlas Search) joins RedMonk’s Kelly Fitzpatrick for an introduction to MongoDB Atlas Search: a full-text search engine integrated into MongoDB’s fully-managed developer data platform (Atlas). After discussing some of the advantages of leveraging search on a data platform like Atlas (unified developer experience and API, seamless synchronization, reduced operational overhead), Erik jumps right into a demo of Atlas Search using platform-supplied sample datasets (we use a film dataset) and walking through the tools and steps a Java developer might use. This was a RedMonk video sponsored by MongoDB. Resources: Atlas Search: Learn more about Atlas Search: https://mdb.link/atlas-search-lp-redmonk All Atlas Search tutorials: https://mdb.link/atlas-search-tutorials-redmonk Get started with Atlas Search in Java (as demonstrated in the video): https://mdb.link/atlas-search-java-redmonk Landing page for MongoDB Atlas: https://mdb.link/atlas-lp-redmonk General MongoDB learning and developer resources: Overview of MongoDB and the Document Model (free MongoDB University course): https://mdb.link/document-model-redmonk Check out other courses offered through MongoDB University: https://mdb.link/mongo-university-redmonk MongoDB’s Developer Center: https://mdb.link/dev-center-redmonkSep 13, 2023 | 34 min
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Tutorial
Securely Hosting a Lambda Application With a Microservice Architecture and MongoDB Atlas
Sep 19, 2024 | 4 min read
Tutorial
How to Implement Databricks Workflows and Atlas Vector Search for Enhanced Ecommerce Search Accuracy
Sep 18, 2024 | 6 min read
All Atlas Content
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Tutorial
How to Do Semantic Search in MongoDB Using Atlas Vector Search
Learn how to get started with Vector Search on MongoDB while leveraging the OpenAI.
Sep 18, 2024
Tutorial
Build an Image Search Engine With Python & MongoDB
Build a search engine for photographs with MongoDB Atlas Vector Search and a multi-modal embedding model.
Sep 18, 2024
Article
Using SuperDuperDB to Accelerate AI Development on MongoDB Atlas Vector Search
Discover how you can use SuperDuperDB to describe complex AI pipelines built on MongoDB Atlas Vector Search and state of the art LLMs.Sep 18, 2024
Tutorial
Beyond Basics: Enhancing Kotlin Ktor API With Vector Search
Learn how to integrate Vector Search into your Kotlin with Ktor application using MongoDB.
Sep 18, 2024
Tutorial
RAG with Atlas Vector Search, LangChain, and OpenAI
Learn about Vector Search with MongoDB, LLMs, and OpenAI with the Python programming language.
Sep 18, 2024
Tutorial
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
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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
Tutorial
Reinventing Multi-modal Search With MongoDB and Anyscale
In this comprehensive guide, we explore a solution to modernize legacy search systems using Anyscale and MongoDB. The guide covers building a scalable multi-modal data indexing pipeline, implementing a hybrid search backend, and creating a user-friendly interface. The solution leverages MongoDB Atlas Vector Search and Anyscale’s AI compute platform to enhance search capabilities across text and image data.Sep 18, 2024
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