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How to use the local embedding model for text vectorization? #315

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hingkan opened this issue Jun 25, 2024 · 3 comments · Fixed by #322
Closed

How to use the local embedding model for text vectorization? #315

hingkan opened this issue Jun 25, 2024 · 3 comments · Fixed by #322
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@hingkan
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hingkan commented Jun 25, 2024

AgentScope is an open-source project. To involve a broader community, we recommend asking your questions in English.
This is a problem I recently encountered using the AgentScope RAG module.
URL: https://modelscope.github.io/agentscope/en/tutorial/210-rag.html

API interfaces are used on both the model and embedding of the AgentScope RAG. And the agentscope\scripts\flask_transformers\setup_hf_service.py script starts the model is also LLM.
There is no corresponding embedding API deployment mode.

How to use the local embedding model for text vectorization.

@DavdGao
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DavdGao commented Jun 27, 2024

@FredericW @ZiTao-Li Please check this issue.

@ZiTao-Li
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@FredericW @ZiTao-Li Please check this issue.

Sure, we will provide an example as soon as possible.

@hingkan
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hingkan commented Jun 27, 2024

@FredericW @ZiTao-Li Please check this issue.

Sure, we will provide an example as soon as possible.
Thank you. Looking forward to it.

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4 participants