Manning (Firm). (2022). Use PyNNDescent and `nessvec` to index high dimensional vectors (word embeddings) ([First edition].). Manning Publications.
Chicago Style (17th ed.) CitationManning (Firm). Use PyNNDescent and `nessvec` to Index High Dimensional Vectors (word Embeddings). [First edition]. [Place of publication not identified]: Manning Publications, 2022.
MLA (8th ed.) CitationManning (Firm). Use PyNNDescent and `nessvec` to Index High Dimensional Vectors (word Embeddings). [First edition]. Manning Publications, 2022.
Warning: These citations may not always be 100% accurate.