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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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Article
How to Enable Local and Automatic Testing of Atlas Search-Based Features
In this blog post, you'll learn how to deploy MongoDB Atlas Search locally using Docker containers, index some documents and finally start unit tests to validate your Atlas Search indexes.Apr 23, 2024
Frank Steimle
Article
How to Build a Search Service in Java
In this article, we are going to detail an HTTP Java search service designed to be called from a presentation tier.Apr 23, 2024
Erik Hatcher
Article
Atlas Online Archive: Efficiently Manage the Data Lifecycle
This article explains the MongoDB's Online Archival feature and its advantages.Apr 23, 2024
Ravindar Karampuri
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
Venkatesh Shanbhag (+1)
Tutorial
Building an AI Agent With Memory Using MongoDB, Fireworks AI, and LangChain
Creating your own AI agent equipped with a sophisticated memory system. This guide provides a detailed walkthrough on leveraging the capabilities of Fireworks AI, MongoDB, and LangChain to construct an AI agent that not only responds intelligently but also remembers past interactions.Apr 23, 2024
Richmond Alake