AI Infrastructure · PyPI

mosaic-mmrag

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

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Details

Author
Abdullah Meda
GitHub profile
@abdullahmeda
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/abdullahmeda/mosaic
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@abdullahmeda

Overview

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

Quick start

pip

pip install mosaic-mmrag

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What mosaic-mmrag can do

ragairetrieval
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is mosaic-mmrag?
Use late-interaction multi-modal models such as ColPali & ColQwen2 for retrieval, with Qdrant as a backend.
How do I install mosaic-mmrag?
Use pip: `pip install mosaic-mmrag`. Full setup details on the source page linked above.
Is mosaic-mmrag open source?
mosaic-mmrag is published on PyPI.
What are alternatives to mosaic-mmrag?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for mosaic-mmrag is sourced from PyPI, published by Abdullah Meda.

Last scraped: · First indexed:

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