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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.
Dec 13, 2024 | 8 min read
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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.Dec 13, 2024
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Tutorial
How to Improve LLM Applications With Parent Document Retrieval Using MongoDB and LangChain
In this tutorial, you will learn about a technique called parent document retrieval and implement it in RAG and Agentic workflows using MongoDB’s LangChain integration.Dec 13, 2024
Video
What does Aperol Spritz have to do with MongoDB??
Let's find the closest Aperol spritz to you with MongoDB geospatial queries and Atlas Vector Search.Dec 12, 2024
Article
Building a Foreign Correspondent With MongoDB, Anthropic's Claude, Python
Join guest author Marko Aleksendric to learn how to use MongoDB, Anthropic's Claude and Python to create a simple web application aimed to help a virtual friend in a foreign country translate the local news items.Dec 09, 2024
Video
❓PostgreSQL vs. MongoDB for GenAI
Find out which data model — RDBMS or document — is better suited for large, complex, generative AI workloads.Dec 04, 2024
Video
PostgreSQL vs. MongoDB: Which Is Better for GenAI?
✅ Github - https://mdb.link/_zg90Rb9S2M - Find out which data model — RDBMS or document — is better suited for large, complex, generative AI workloads. In this video, we compare PostgreSQL and MongoDB to see which handles Generative AI (GenAI) workloads better. We look at their data models, storage engines, and how they manage large, complex data typical in GenAI applications. Through benchmark tests, we show their efficiency in processing large documents and multi-attribute data, helping you choose the right database for your AI projects.Dec 04, 2024
Tutorial
Building an AI Agent With Semantic Kernel, C#, OpenAI, and MongoDB Atlas
Learn how to easily create an AI agent application using MongoDB Atlas, Microsoft’s Semantic Kernel, C#, and OpenAI with Developer Advocate Luce Carter.Dec 02, 2024
Video
Insights on Vector Search and Quantization for Developers and AI Enthusiasts
✅ Try MongoDB 8.0 → https://mdb.link/Nu70pFr88Cc-8.0 ✅ Sign-up for a free cluster → https://mdb.link/Nu70pFr88Cc-try - In this episode of the MongoDB Podcast, we dive deep into the exciting advancements in vector search technology. Join us as we discuss the recent launch of quantization capabilities and how they can significantly reduce costs while enhancing performance. Discover the implications for developers and customers alike, and learn about the future of AI integration within MongoDB. Whether you're a seasoned developer or just starting out, this episode is packed with valuable insights to help you leverage the benefits of vector search in your applications.
Dec 02, 2024
Tutorial
How to Implement Working Memory in AI Agents and Agentic Systems for Real-time AI Applications
Nov 18, 2024
Tutorial
Terraforming AI Workflows: RAG With MongoDB Atlas and Spring AI
Learn how to automate infrastructure management with HashiCorp Terraform and MongoDB Atlas. This tutorial covers setting up clusters, vector search, and building a Spring Boot RAG app with OpenAI embeddings for intelligent data retrieval and scalable cloud integration.
Nov 18, 2024
