RE: LeoThread 2024-11-14 11:34

[taskmaster4450le]

1. Caching: Caching involves storing frequently accessed vectors in a fast-accessible data structure, reducing the load on the database.
2. Data compression: Data compression techniques, like Huffman coding or LZW compression, reduce the storage requirements by representing the data in a more compact form.
3. Approximation methods: Approximation methods, like k-nearest neighbors or nearest neighbor search, allow for fast searching by approximating the results instead of exact matches.