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)
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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