Choosing Indexes for Similarity Search (Faiss in Python)

What does IP stand for?

Thanks for amazing video! Do you know why simple K-means are not used for these MIPS problems?

Does the IVF algorithm works with high dimensional data please like 100?

Hi James.

Thanks for such a wonderful tutorial. Really useful. A quick question, For a new query vector, is it possible to return the IVF cell/partition that it belongs to, instead of returning the neighbors? I think I can measure the distances with centroids and return the closest centroid. However, I was thinking if there is built-in way.

Can share the video assume I have binary data of train and test, so need to calculate the haming distance, I didn't found any videos using faiss ,if share the video that may more helpful

Great explanations, especially for IVF - it's probably the best explanation for how it works that I've seen.

Thank you for your video. Most Valuable Channel. Do you use GPU for indexing in this projects?

Super Informative Content!
Thank you so much for this.

Thanks a bunch for this, James! Would be really great to see a couple of them get explored in depth. Also, if you could benchmark FAISS against ScaNN, it will help a few of us noobs a hell lot.

Great content! Lovely command over your content. Really need more of this.

Super useful! Thanks for this video James. For IVF, can we retrieve the clusters that each datapoint belongs to after training (also cluster centroids)?