qdrant / qdrant/fastembed

[Model]: MedEmbed

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Dominant language
Python
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Forks
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Avg merge
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Merged PRs (30d)
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Description

Which model would you like to support?

https://huggingface.co/abhinand/MedEmbed-base-v0.1
https://huggingface.co/abhinand/MedEmbed-small-v0.1
https://huggingface.co/abhinand/MedEmbed-large-v0.1

What are the main advantages of this model?

I would like to use this model to embed manuals related to the medical field and this template is specialized in this field.
The model is presented in this article which also includes some benchmarks:

https://huggingface.co/blog/abhinand/medembed-finetuned-embedding-models-for-medical-ir

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 the repository's existing embedding-model integrations and their tests, then compare the MedEmbed model links and benchmarks in the issue with the supported model patterns. Done means the requested MedEmbed variants are supported consistently and covered by appropriate tests; no specific files or entry points are named in the issue.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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