vectorvfs

Your filesystem as a vector database

https://github.com/perone/vectorvfs

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: arxiv.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.4%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

Your filesystem as a vector database

Basic Info
Statistics
  • Stars: 398
  • Watchers: 5
  • Forks: 13
  • Open Issues: 6
  • Releases: 0
Created 11 months ago · Last pushed 11 months ago
Metadata Files
Readme License Citation

README.md

Banner

VectorVFS: Your Filesystem as a Vector Database

Documentation is at https://vectorvfs.readthedocs.io.

VectorVFS is a lightweight Python package that transforms your Linux filesystem into a vector database by leveraging the native VFS (Virtual File System) extended attributes. Rather than maintaining a separate index or external database, VectorVFS stores vector embeddings directly alongside each file—turning your existing directory structure into an efficient and semantically searchable embedding store.

VectorVFS currently uses Meta's Perception Encoders (PE) [arxiv] which includes image/video encoders for vision language understanding, it outperforms InternVL3, Qwen2.5VL and SigLIP2 for zero-shot image tasks. More models support coming soon.

Key Features

  • Zero-overhead indexing
    Embeddings are stored as extended attributes (xattrs) on each file, eliminating the need for external index files or services.

  • Seamless retrieval
    Perform searches across your filesystem, retrieving files by embedding similarity.

  • Flexible embedding support
    Plug in any embedding model—from pre-trained transformers to custom feature extractors—and let VectorVFS handle storage and lookup.

  • Lightweight and portable
    Built on native Linux VFS functionality, VectorVFS requires no additional daemons, background processes, or databases.

Owner

  • Name: Christian S. Perone
  • Login: perone
  • Kind: user
  • Location: London, United Kingdom

Machine Learning / Research

Citation (CITATION.cff)

cff-version: "1.2.0"
date-released: 2025-05
message: "If you use this software, please cite it using these metadata."
title: "vectorvfs: Your filesystem is a vector database"
url: "https://github.com/perone/vectorvfs"
authors: 
  - family-names: Perone
    given-names: Christian

GitHub Events

Total
  • Issues event: 2
  • Watch event: 375
  • Issue comment event: 4
  • Public event: 1
  • Push event: 6
  • Pull request review event: 2
  • Pull request review comment event: 2
  • Pull request event: 4
  • Fork event: 9
Last Year
  • Issues event: 2
  • Watch event: 375
  • Issue comment event: 4
  • Public event: 1
  • Push event: 6
  • Pull request review event: 2
  • Pull request review comment event: 2
  • Pull request event: 4
  • Fork event: 9

Committers

Last synced: 10 months ago

All Time
  • Total Commits: 24
  • Total Committers: 1
  • Avg Commits per committer: 24.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 24
  • Committers: 1
  • Avg Commits per committer: 24.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Christian S. Perone c****e@g****m 24

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 6
  • Total pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 day
  • Total issue authors: 6
  • Total pull request authors: 1
  • Average comments per issue: 1.0
  • Average comments per pull request: 2.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 6
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 day
  • Issue authors: 6
  • Pull request authors: 1
  • Average comments per issue: 1.0
  • Average comments per pull request: 2.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • apiszcz (1)
  • kzhrv (1)
  • sammcj (1)
  • qlyoung (1)
  • Ayanami1314 (1)
  • nikste (1)
Pull Request Authors
  • snwagh (2)
Top Labels
Issue Labels
enhancement (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 35 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
pypi.org: vectorvfs

Your filesystem is a vector database.

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 35 Last month
Rankings
Dependent packages count: 9.2%
Average: 30.6%
Dependent repos count: 52.0%
Maintainers (1)
Last synced: 8 months ago

Dependencies

docs/requirements-docs.txt pypi
  • alabaster ==1.0.0
  • anyio ==4.9.0
  • asttokens ==3.0.0
  • babel ==2.17.0
  • certifi ==2025.1.31
  • charset-normalizer ==3.4.1
  • click ==8.1.8
  • colorama ==0.4.6
  • decorator ==5.2.1
  • docutils ==0.21.2
  • executing ==2.2.0
  • h11 ==0.16.0
  • idna ==3.10
  • imagesize ==1.4.1
  • iniconfig ==2.1.0
  • ipdb ==0.13.13
  • ipython ==9.2.0
  • ipython-pygments-lexers ==1.1.1
  • jedi ==0.19.2
  • jinja2 ==3.1.6
  • markupsafe ==3.0.2
  • matplotlib-inline ==0.1.7
  • mypy ==1.15.0
  • mypy-extensions ==1.1.0
  • packaging ==25.0
  • parso ==0.8.4
  • pexpect ==4.9.0
  • pluggy ==1.5.0
  • prompt-toolkit ==3.0.51
  • ptyprocess ==0.7.0
  • pure-eval ==0.2.3
  • pygments ==2.19.1
  • pytest ==8.3.5
  • requests ==2.32.3
  • roman-numerals-py ==3.1.0
  • ruff ==0.11.7
  • sniffio ==1.3.1
  • snowballstemmer ==2.2.0
  • sphinx ==8.2.3
  • sphinx-autobuild ==2024.10.3
  • sphinx-press-theme ==0.9.1
  • sphinxcontrib-applehelp ==2.0.0
  • sphinxcontrib-devhelp ==2.0.0
  • sphinxcontrib-htmlhelp ==2.1.0
  • sphinxcontrib-jsmath ==1.0.1
  • sphinxcontrib-qthelp ==2.0.0
  • sphinxcontrib-serializinghtml ==2.0.0
  • stack-data ==0.6.3
  • starlette ==0.46.2
  • traitlets ==5.14.3
  • typing-extensions ==4.13.2
  • urllib3 ==2.4.0
  • uvicorn ==0.34.2
  • watchfiles ==1.0.5
  • wcwidth ==0.2.13
  • websockets ==15.0.1
pyproject.toml pypi
  • click >=8.1.8
  • perception-models *
  • pillow >=11.0.0
  • rich >=14.0.0
  • torch ==2.5.1
  • torchaudio ==2.5.1
  • torchcodec ==0.1
  • torchvision ==0.20.1
  • xformers >=0.0.29.post1
uv.lock pypi
  • 194 dependencies