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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.Sep 12, 2024
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How to Use Realm Effectively in a Xamarin.Forms App
This article shows how to effectively use Realm in a Xamarin.Forms app using recommended patterns.Sep 09, 2024
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Audio Find - Atlas Vector Search for Audio
Explore the creation of a music catalog system that leverages the power of MongoDB Atlas's vector search and a Python service for sound embedding.Sep 09, 2024
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A Free REST API for Johns Hopkins University COVID-19 dataset
Making the Johns Hopkins University COVID-19 Data open and accessible to all, with MongoDB, through a simple REST API.Aug 15, 2024
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Atlas Search Relevancy Explained
We've grown accustomed to expecting the best results for our search intentions. It’s your turn to build the same experience into your Atlas-powered app.Aug 14, 2024
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How to Set Up MongoDB Class Maps for C# for Optimal Query Performance and Storage Size
Starting out with MongoDB and C#? These tips will help you get your class maps right from the beginning to support your desired schema.Aug 05, 2024
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Streamlining Java Application Development With MongoDB: A Comprehensive Guide to Using Testcontainers
This tutorial will help you understand using testcontainers for writing JUnits test for a Spring and Java application.Jul 22, 2024
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Model Unstructured Data: More Flexibility for Our Developers
Learn all about modeling unstructured data in Atlas Device Sync with the new collections of mixed data.Jul 09, 2024