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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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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.Sep 11, 2024
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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.Sep 11, 2024
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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.Sep 11, 2024
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How to Work With Johns Hopkins University COVID-19 Data in MongoDB Atlas
Making the Johns Hopkins University COVID-19 Data open and accessible to all with MongoDBSep 09, 2024
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Realm Triggers Treats and Tricks - Document-Based Trigger Scheduling
In this article, we will explore a trick that lets us invoke a trigger task based on a date document field in our collections.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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Build a Newsletter Website With the MongoDB Data Platform
How I ended up building a whole CMS for a newsletter — when it wasn't even my jobSep 09, 2024