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Article

Keeping Your Costs Down With MongoDB Atlas Serverless Instances

Learn how to use the new MongoDB Atlas serverless instances to keep your usage costs down.
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AtlasServerless

Oct 01, 2024
Article

The MongoDB Atlas Sample Datasets

Explaining the MongoDB Atlas Sample Data and diving into its various datasets
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Oct 01, 2024
Article

Comparing NLP Techniques for Scalable Product Search

In this article, we will compare four popular natural language processing (NLP) techniques to find the most optimal solution for retrieving the most relevant results for a search query from a large corpus of products.
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Sep 23, 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.
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Sep 18, 2024
Article

AI Shop: The Power of LangChain, OpenAI, and MongoDB Atlas Working Together

Explore the synergy of MongoDB Atlas, LangChain, and OpenAI GPT-4 in our cutting-edge AI Shop application.
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Sep 18, 2024
Article

Multi-agent Systems With AutoGen and MongoDB

Discover how to build powerful multi-agent AI systems using AutoGen and MongoDB. This guide explores the integration of Microsoft's AutoGen framework with MongoDB's Atlas Vector Search, enabling efficient retrieval-augmented generation (RAG) and collaborative AI agents. Learn step-by-step implementation, from environment setup to agent configuration, and unlock the potential of scalable, context-aware AI solutions for complex data-driven tasks.
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Sep 18, 2024
Article

Implementing Robust RAG Pipelines: Integrating Google's Gemma 2 (2B) Open Model, MongoDB, and LLM Evaluation Techniques

This tutorial explores building a retrieval-augmented generation (RAG) pipeline by integrating Google’s Gemma 2 (2B) model, MongoDB, and LLM evaluation techniques. Gemma 2, a lightweight model with two billion parameters, is used for efficient response generation, while MongoDB acts as the vector database, enabling semantic search for relevant documents. The tutorial demonstrates how to create an asset management assistant that analyzes market reports stored in MongoDB. It covers embedding generation, vector search, and the use of the DeepEval library to assess the relevance and faithfulness of LLM-generated responses. By combining these tools, the tutorial highlights an efficient approach to building AI-driven solutions with robust performance evaluation in a RAG pipeline.
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Sep 12, 2024
Article

Automate the Automation on MongoDB Atlas

We put resources and documentation (with plenty of examples using cURL) right in Postman, an API platform for building and using APIs.
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Sep 11, 2024
Article

5 Ways to Reduce Costs With MongoDB Atlas

Atlas enables enhanced scalability and reduces dependence on fixed costs when deploying on premises instances of MongoDB. Learn how to reduce costs.
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Sep 11, 2024
Article

How to Easily Pause and Resume MongoDB Atlas Clusters

Wouldn't it be great if we could just jump on a local command line to look at our live clusters? I wrote a script to automate it.
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Sep 11, 2024