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Update app.py
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app.py
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@@ -70,8 +70,8 @@ file_extractor = {
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# Embedding model and index initialization (to be populated by uploaded files)
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# embed_model = HuggingFaceEmbedding(model_name="BAAI/bge-small-en-v1.5") ## Works good
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embed_model1 = HuggingFaceEmbedding(model_name="BAAI/bge-large-en") ## works good
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embed_model2 = HuggingFaceEmbedding(model_name="NeuML/pubmedbert-base-embeddings")
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# sentence-transformers/distilbert-base-nli-mean-tokens
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# BAAI/bge-large-en
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# embed_model = HuggingFaceEmbedding(model_name="sentence-transformers/all-MiniLM-L6-v2")
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# Embedding model and index initialization (to be populated by uploaded files)
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# embed_model = HuggingFaceEmbedding(model_name="BAAI/bge-small-en-v1.5") ## Works good
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embed_model1 = HuggingFaceEmbedding(model_name="BAAI/bge-large-en") ## works good
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# embed_model2 = HuggingFaceEmbedding(model_name="NeuML/pubmedbert-base-embeddings") ## works good
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# sentence-transformers/distilbert-base-nli-mean-tokens
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# BAAI/bge-large-en
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# embed_model = HuggingFaceEmbedding(model_name="sentence-transformers/all-MiniLM-L6-v2")
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