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Systems for assigning stable IDs to vectors to ensure consistency across deletions.
Distinct from Vector Indexing: Focuses on identifier stability for deletions within the index rather than general indexing tools
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TurboVec is a high-performance Rust vector database and quantized search index designed for storing and retrieving high-dimensional embeddings. It functions as a pluggable vector store for large language model orchestration frameworks, providing a memory-efficient alternative to standard in-memory storage. The project distinguishes itself through a high-dimensional vector compressor that utilizes random rotation and data-oblivious scalar quantization to reduce memory footprints. Retrieval is accelerated via SIMD kernels that process distance calculations and search operations for increased th
Assigns persistent IDs to vectors to maintain index consistency after entries are deleted.