langgenius / langgenius/dify-plugins
vllm plugin only support llm, but vllm can do text embedding too
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enhancement
- Dominant language
- Python
- Stars
- 554
- Forks
- 879
- Avg merge
- 1d 2h
- Merged PRs (30d)
- 125
Description
vllm can do llm as well as text embedding
e.g. https://docs.vllm.ai/en/v0.7.1/serving/engine_args.html
--task
Possible choices: auto, generate, embedding, embed, classify, score, reward
I start bge model like this vllm serve ./BAAI/bge-m3 --task embed but I can not use it with vllm plugin
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the vLLM plugin entry point and compare its current LLM-only handling with vLLM's documented --task choices. Reproduce the BAAI/bge-m3 launch using vllm serve ./BAAI/bge-m3 --task embed, then verify the plugin can use the resulting text-embedding service.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100