Adaptive Search and Approximate Neighbors

Hey everyone! Thank you so much for watching the 89th Weaviate Podcast on Matryoshka Representation Learning! I am beyond grateful to be joined by the lead author of Matryoshka Representation Learning, Aditya Kusupati, Zach Nussbaum, a Machine Learning Engineer at Nomic AI bringing these embeddings to production, and my Weaviate colleague, Zain Hasan, who has done amazing research on Matryoshka Embeddings! We think this is a super powerful development for Vector Search! This podcast covers all sorts of details from generally what Matryoshka embeddings are, the challenges of training them, experiences building an embeddings API product from Nomic AI and how it ties with Nomic Atlas, Aditya's research on differentiable ANN indexes, and many more! This was such a fun one, I really hope you find it useful! Please let us know what you think!