Use PyNNDescent and `nessvec` to Index High Dimensional Vectors (Word Embeddings)



Use PyNNDescent and `nessvec` to Index High Dimensional Vectors (Word Embeddings)

Use PyNNDescent and nessvec to Index High Dimensional Vectors (Word Embeddings)


Video description

How to index high dimensional vectors like word embeddings using a new approximate nearest neighbor algorithm, devised by Leland McInnes.


Table of Contents

Use PyNNDescent and nessvec to Index High Dimensional Vectors (Word Embeddings)


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