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Techniques for reducing the precision of vector elements to decrease memory and storage requirements.
Distinct from Vector Indexing: Distinct from Vector Indexing: focuses specifically on the compression of the vector data elements themselves rather than the index structure.
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Awesome Quantization GitHub Repositories
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- asg017/sqlite-vec
asg017/sqlite-vec
6,961Auf GitHub ansehensqlite-vec is a C-based vector library and SQLite extension that adds virtual tables for storing and querying high-dimensional embeddings. It functions as a database plugin for performing nearest neighbor searches using distance metrics such as L2, cosine, and Hamming distance. The project provides a portable embedding store that supports deployment across Android, iOS, desktop environments, and web browsers via WebAssembly. It distinguishes itself by converting numerical arrays into compact binary formats and utilizing quantization to reduce the memory footprint and storage size of vector in
The vector search extension compresses floating point elements into smaller data types to lower the memory footprint of vector indexes.
Csqlitesqlite-extension
