Skip to main content

Use late-interaction multi-modal models such as ColPali & ColQwen2 for retrieval, with Qdrant as a backend.

Project description

The author of this package has not provided a project description

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mosaic_mmrag-0.2.3.tar.gz (16.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mosaic_mmrag-0.2.3-py3-none-any.whl (16.3 kB view details)

Uploaded Python 3

File details

Details for the file mosaic_mmrag-0.2.3.tar.gz.

File metadata

  • Download URL: mosaic_mmrag-0.2.3.tar.gz
  • Upload date:
  • Size: 16.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.12

File hashes

Hashes for mosaic_mmrag-0.2.3.tar.gz
Algorithm Hash digest
SHA256 60b513bf0d9487fe22f8d7a85c1eea2836a42f7a041e57b09fd0c07895f08bb4
MD5 c64d2e10dab4dd270d45d5f8cecb649c
BLAKE2b-256 4b4270a764ea72db66a56b90b5f61ef83fa29b77c3ecc6f196e5901ed494e8fb

See more details on using hashes here.

File details

Details for the file mosaic_mmrag-0.2.3-py3-none-any.whl.

File metadata

  • Download URL: mosaic_mmrag-0.2.3-py3-none-any.whl
  • Upload date:
  • Size: 16.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.12

File hashes

Hashes for mosaic_mmrag-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 9b5c20cbde482281654163165722a0b2f87949a07a96cdbb25e79e420bef0220
MD5 a12a768dca7ae24d58ecfcf7aea4014a
BLAKE2b-256 748a7f858f490ea53b0b00c842424ca6717a61787f5700389cb0bb95d95a6675

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page