GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
turbovec is a Rust-based vector indexing library with Python bindings that offers significant memory savings and fast SIMD search capabilities, built on Google Research's TurboQuant algorithm.
Good fit when
- - Use turbovec when you need to save substantial amounts of memory; for instance, a 10 million document corpus can fit in 4 GB RAM instead of the typical 31 GB with float32.
- - Optimize your implementation if latency is critical, as it provides faster SIMD search capabilities compared to FAISS on specific hardware architectures (i.e., ARM).
Avoid when
- - Avoid using turbovec in environments where the hardware architecture does not support specific SIMD instructions (like NEON on ARM and AVX-512BW on x86), as this can lead to performance degradation.
- - Do not use it if your application requires external managed services for vector indexing, as turbovec is designed for local deployments without data leaving the machine or VPC.
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Aug 18, 2026
- Provenance
- Not a fork · Personal account
- As of Aug 18, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
cargo add turbovecHow it fits your stack(4)
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Evidence and technical details
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Overview
turbovec is a Rust-based vector indexing library offering significant memory savings and fast SIMD search capabilities. Built on Google Research's TurboQuant algorithm, it supports efficient online ingest and filtering at search time without external managed services.
Capability facts
- Languages
- rust
Source: github.language · Aug 18, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 18, 2026)
turbovec is a Rust vector index with Python bindings, built on Google Research's [**TurboQuant**](https://arxiv.org/abs/2504Source link
Tags
README
<p align="center" <img src="https://raw.githubusercontent.com/RyanCodrai/turbovec/main/docs/header.png" alt="turbovec — Google's TurboQuant for vector search" width="100%" </p <p align="center" <a href="https://github.com/RyanCodrai/turbovec/blob/main/LICENSE" <img src="https://i...
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