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Query Operators & Relevancy Controls for Precision Searches
✅ Sign-up for a free cluster at → https://mdb.link/free-U-hAo_TAi9c ✅ Get help on our Community Forums → https://mdb.link/community-U-hAo_TAi9c Atlas Search provides a rich set of query operators and relevancy controls. This episode covers the common query operators, their relevancy controls, and ends with coverage of the must-have Query Analytics feature. 🔗 Resources 🔗 Get Started with Atlas Search → https://mdb.link/cene-U-hAo_TAi9c Atlas Search query operators → https://mdb.link/operators-U-hAo_TAi9c Atlas Search Playlist → https://www.youtube.com/playlist?list=PL4RCxklHWZ9sEaTrqx7DOxQ5FzwDOTWFj ------ ✅ Subscribe to our channel → https://mdb.link/subscribeNov 15, 2023 | 14 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
Tutorial
Leveraging MongoDB Atlas Vector Search with LangChain
Discover the integration of MongoDB Atlas Vector Search with LangChain, explored in Python in this insightful article. It highlights how advanced semantic search capabilities and high-dimensional embeddings revolutionize data retrieval. Understand the use of MongoDB Atlas' $vectorSearch operator and how Python enhances the functionality of LangChain in building AI-driven applications. This guide offers a comprehensive overview for harnessing these cutting-edge tools in data analysis and AI-driven search processes.Apr 10, 2024
Arek Borucki
Tutorial
Building AI Graphs with Rivet and MongoDB Atlas Vector Search to Power AI Applications
Join us in a journey through the convergence of database technology and AI in our article 'Building AI Graphs with Rivet and MongoDB Atlas Vector Search'. This guide offers a deep dive into the integration of Rivet AI's graph builder with MongoDB Atlas, showcasing how to visualize and manipulate data for AI applications. Whether you're a developer or a data scientist, this article provides valuable insights and practical steps for enhancing data-driven decision-making and creating dynamic, AI-powered solutions.Apr 02, 2024
Cai GoGwilt (+2)
Tutorial
Add Memory to Your JavaScript RAG Application Using MongoDB and LangChain
Unlock the full potential of your JavaScript RAG application with MongoDB and LangChain. This guide dives into enhancing AI systems with a conversational memory, improving response relevance and user interaction by integrating MongoDB's Atlas Vector Search and LangChain-MongoDB. Discover how to setup your environment, manage chat histories, and construct advanced RAG chains for smarter, context-aware applications. Perfect for developers looking to elevate AI projects with real-time, personalized user engagement.Apr 01, 2024
Jesse Hall
Tutorial
Beyond Basics: Enhancing Kotlin Ktor API With Vector Search
Learn how to integrate Vector Search into your Kotlin with Ktor application using MongoDB.Mar 25, 2024
Ricardo Mello
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.Feb 21, 2024
Duncan Blythe
Tutorial
RAG with Atlas Vector Search, LangChain, and OpenAI
Learn about Vector Search with MongoDB, LLMs, and OpenAI with the Python programming language.Feb 14, 2024
Harshad Dhavale