Techniques to mitigate the curse of dimensionality
To mitigate the curse of dimensionality, vector databases use various techniques, including:
- Dimensionality reduction: Techniques like PCA (Principal Component Analysis) reduce the dimensionality of the data by selecting the most important features and discarding the rest.
- Indexing: Indexing techniques, like inverted files or hash tables, allow for fast searching and retrieval of vectors by reducing the number of possible unique vectors.