This is the Linux app named turbovec whose latest release can be downloaded as turbovecv0.9.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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turbovec
DESCRIPTION
turbovec is a Rust-based vector index with Python bindings for fast similarity search. It is built around TurboQuant, a quantization approach designed to reduce vector storage while preserving useful distance information. The project targets workloads where embedding search needs to be compact, efficient, and practical to integrate into Python applications. It avoids a separate training phase for the quantizer, which can simplify setup compared with systems that require codebook learning. TurboVec is useful for developers building retrieval, ranking, semantic search, recommendation, or AI memory systems. Its main value is combining Rust performance with a Python-facing workflow for modern vector search experiments and applications.
Features
- Rust vector index implementation
- Python bindings for integration
- TurboQuant-based compression
- No separate codebook training
- Similarity search for embeddings
- Useful for retrieval and ranking systems
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/turbovec.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
