cff-version: 1.2.0
message: "If you use TurboQuant Pro in your research, please cite it as below."
title: "TurboQuant Pro: PCA-Matryoshka + TurboQuant Compression for Embeddings and LLM KV Caches"
type: software
authors:
  - family-names: Bond
    given-names: Andrew H.
    email: andrew.bond@sjsu.edu
    affiliation: San Jose State University
version: 1.4.0
date-released: 2026-06-29
license: MIT
doi: "10.5281/zenodo.20660087"
url: "https://github.com/ahb-sjsu/turboquant-pro"
repository-code: "https://github.com/ahb-sjsu/turboquant-pro"
keywords:
  - pca-matryoshka
  - embedding-compression
  - llm
  - kv-cache
  - quantization
  - compression
  - transformer
  - inference
  - pgvector
  - dimensionality-reduction
references:
  - type: conference-paper
    title: "TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate"
    authors:
      - family-names: Zandieh
        given-names: Amir
      - family-names: Daliri
        given-names: Majid
      - family-names: Hadian
        given-names: Majid
      - family-names: Mirrokni
        given-names: Vahab
    year: 2026
    notes: "arXiv:2504.19874; builds on PolarQuant (arXiv:2502.02617) and QJL (arXiv:2406.03482)"
    collection-title: "International Conference on Learning Representations (ICLR)"
identifiers:
  - description: "This specific release (v1.0.0)"
    type: doi
    value: "10.5281/zenodo.20660088"
  - description: "Concept DOI (always resolves to the latest release)"
    type: doi
    value: "10.5281/zenodo.20660087"
