Ronay AK – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-06-30T16:56:42Z http://www.open-lab.net/blog/feed/ Ronay AK <![CDATA[Best-in-Class Multimodal RAG: How the Llama 3.2 NeMo Retriever Embedding Model Boosts Pipeline Accuracy]]> http://www.open-lab.net/blog/?p=102704 2025-06-30T16:56:42Z 2025-06-30T16:56:34Z Data goes far beyond text��it is inherently multimodal, encompassing images, video, audio, and more, often in complex and unstructured formats. While the...]]>

Data goes far beyond text—it is inherently multimodal, encompassing images, video, audio, and more, often in complex and unstructured formats. While the common method is to convert PDFs, scanned images, slides, and other documents into text, it is challenging to capture all information in text format, as shown in Figure 1. The loss of visual information in text motivated the development of…

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Ronay AK <![CDATA[Develop Multilingual and Cross-Lingual Information Retrieval Systems with Efficient Data Storage]]> http://www.open-lab.net/blog/?p=93638 2024-12-17T20:42:28Z 2024-12-17T16:00:00Z Efficient text retrieval is critical for a broad range of information retrieval applications such as search, question answering, semantic textual similarity,...]]>

Efficient text retrieval is critical for a broad range of information retrieval applications such as search, question answering, semantic textual similarity, summarization, and item recommendation. It also plays a pivotal role in retrieval-augmented generation (RAG), a technique that enables large language models (LLMs) to access external context without modifying underlying parameters.

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Ronay AK <![CDATA[Evaluating Retriever for Enterprise-Grade RAG]]> http://www.open-lab.net/blog/?p=78222 2024-10-28T21:59:05Z 2024-02-23T19:02:26Z The conversation about designing and evaluating Retrieval-Augmented Generation (RAG) systems is a long, multi-faceted discussion. Even when we look at retrieval...]]>

The conversation about designing and evaluating Retrieval-Augmented Generation (RAG) systems is a long, multi-faceted discussion. Even when we look at retrieval on its own, developers selectively employ many techniques, such as query decomposition, re-writing, building soft filters, and more, to increase the accuracy of their RAG pipelines. While the techniques vary from system to system…

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Ronay AK <![CDATA[Build Enterprise Retrieval-Augmented Generation Apps with NVIDIA Retrieval QA Embedding Model]]> http://www.open-lab.net/blog/?p=74346 2024-10-28T22:00:06Z 2023-11-28T18:10:50Z Large language models (LLMs) are transforming the AI landscape with their profound grasp of human and programming languages. Essential for next-generation...]]>

Large language models (LLMs) are transforming the AI landscape with their profound grasp of human and programming languages. Essential for next-generation enterprise productivity applications, they enhance user efficiency across tasks like programming, copy editing, brainstorming, and answering questions on a wide range of topics. However, these models often struggle with real-time events and…

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Ronay AK <![CDATA[Transformers4Rec: Building Session-Based Recommendations with an NVIDIA Merlin Library]]> http://www.open-lab.net/blog/?p=48393 2023-06-12T09:32:35Z 2022-06-28T18:00:00Z Recommender systems help you discover new products and make informed decisions. Yet, in many recommendation-dependent domains such as e-commerce, news, and...]]>

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Ronay AK <![CDATA[How to Build a Winning Deep Learning Powered Recommender System-Part 3]]> http://www.open-lab.net/blog/?p=31268 2024-10-28T19:15:46Z 2021-05-06T18:00:00Z Recommender systems (RecSys) have become a key component in many online services, such as e-commerce, social media, news service, or online video streaming....]]>

Recommender systems (RecSys) have become a key component in many online services, such as e-commerce, social media, news service, or online video streaming. However with the growth in importance, the growth in scale of industry datasets, and more sophisticated models, the bar has been raised for computational resources required for recommendation systems. To meet the computational demands…

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