rag sentence-transformers/multi-qa-MiniLM-L6-cos-v1
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app.py
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@@ -40,7 +40,10 @@ collection = client.get_or_create_collection(
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# Load the embedding model new model
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#embedding_model = SentenceTransformer('sentence-transformers/multi-qa-mpnet-base-dot-v1')
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embedding_model = SentenceTransformer("BAAI/bge-m3")
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# Load the embedding model new model
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#embedding_model = SentenceTransformer('sentence-transformers/multi-qa-mpnet-base-dot-v1')
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#embedding_model = SentenceTransformer("BAAI/bge-m3")
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embedding_model = SentenceTransformer("sentence-transformers/multi-qa-MiniLM-L6-cos-v1")
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