nearest neighbour search

Here i got parsed one literature site for about 10.000.000 sentences from russian books and make sentence vector embeddings from them using Mistral open API.

Embeddings got resized from 1024 to 256 dimensions using python scikit-learn PCA method.

Word embeddings are a way of representing words as vectors in a multi-dimensional space, where the distance and direction between vectors reflect the similarity and relationships among the corresponding words.