Episode

RAG Benchmarks with Nandan Thakur - Weaviate Podcast #124!

Podcast
Weaviate Podcast
Published
Jun 25, 2025
Duration seconds
3886
Processing state
not_requested
Canonical source
https://podcasters.spotify.com/pod/show/weaviate/episodes/RAG-Benchmarks-with-Nandan-Thakur---Weaviate-Podcast-124-e34n9i6
Audio
https://anchor.fm/s/cffc3468/podcast/play/104621062/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2025-5-25%2F26da8af9-1b15-05ed-a8d1-0412d9d8e7cb.mp3
JSON
/v1/public/podcasts/weaviate-podcast-6288219/episodes/rag-benchmarks-with-nandan-thakur-weaviate-podcast-124
Markdown
/podcast/weaviate-podcast-6288219/rag-benchmarks-with-nandan-thakur-weaviate-podcast-124.md

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Summary

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!