<p>Nandan Thakur is a Ph.D. student at the University of Waterloo! Nandan has worked on many of the most impactful works in Retrieval-Augmented Generation (RAG) and Information Retrieval. His work ranges from benchmarks such as BEIR, MIRACLE, TREC, and FreshStack, to improving the training of embedding models and re-rankings, and more!</p>

Nandan Thakur is a Ph.D. student at the University of Waterloo! Nandan has worked on many of the most impactful works in Retrieval-Augmented Generation (RAG) and Information Retrieval. His work ranges from benchmarks such as BEIR, MIRACLE, TREC, and FreshStack, to improving the training of embedding models and re-rankings, and more!

RAG Benchmarks with Nandan Thakur - Weaviate Podcast #124!

Join Connor Shorten as he interviews machine learning experts and explores Weaviate use cases from users and customers.

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RAG Benchmarks with Nandan Thakur - Weaviate Podcast #124!

RAG Benchmarks with Nandan Thakur - Weaviate Podcast #124!