Gabriel Moreira

Gabriel Moreira is an applied research scientist at NVIDIA, working on the intersection of information retrieval, LLMs and RAG at the NeMo Retriever team. He has previously researched recommender systems and was part of the NVIDIA Merlin core team. He was also part of NVIDIA teams that won many RecSys competitions. Before joining NVIDIA in 2020, Gabriel worked at CI&T, Brazil as a lead data scientist. He has been recognized as a Google developer expert for AI since 2019 and holds a doctor and master’s from ITA, Brazil.
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Posts by Gabriel Moreira

Generative AI Jun 30, 2025

Best-in-Class Multimodal RAG: How the Llama 3.2 NeMo Retriever Embedding Model Boosts Pipeline Accuracy

Data goes far beyond text—it is inherently multimodal, encompassing images, video, audio, and more, often in complex and unstructured formats. While the... 7 MIN READ
Generative AI Nov 28, 2023

Build Enterprise Retrieval-Augmented Generation Apps with NVIDIA Retrieval QA Embedding Model

Large language models (LLMs) are transforming the AI landscape with their profound grasp of human and programming languages. Essential for next-generation... 12 MIN READ
Data Science Jun 28, 2022

Transformers4Rec: Building Session-Based Recommendations with an NVIDIA Merlin Library

Recommender systems help you discover new products and make informed decisions. Yet, in many recommendation-dependent domains such as e-commerce, news, and... 8 MIN READ
Data Science May 06, 2021

How to Build a Winning Deep Learning Powered Recommender System-Part 3

Recommender systems (RecSys) have become a key component in many online services, such as e-commerce, social media, news service, or online video streaming.... 21 MIN READ
Data Science Apr 26, 2021

How to Build a Winning Recommendation System, Part 1

Recommender systems (RecSys) have become a key component in many online services, such as e-commerce, social media, news service, or online video... 9 MIN READ