qdrant / qdrant/fastembed

[Model Request]: Model2Vec models

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Dominant language
Python
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Forks
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Merged PRs (30d)
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Description

What happened?

It would be great if Model2Vec models could be supported, e.g. https://huggingface.co/minishlab/potion-base-8M. They include ONNX files and are extremely fast (since the embeddings are static), small, and high performant.

What Python version are you on? e.g. python --version

Python3.10

Version

0.2.7 (Latest)

What os are you seeing the problem on?

No response

Relevant stack traces and/or logs

No response

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing fastembed's existing model integrations and the linked Model2Vec repository, then inspect the potion-base-8M model's ONNX files on Hugging Face. Determine the integration points and validation needed for Model2Vec models; done means a supported model can be loaded and used through fastembed's embedding API.

Written by the indexing model from the issue text.

Assessment

Tech stack
huggingface, python
Domain
machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
50/100

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