RAG BAAI/bge-m3
Browse files
app.py
CHANGED
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@@ -39,7 +39,9 @@ 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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# Initialize the text splitter
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text_splitter = RecursiveCharacterTextSplitter(chunk_size=1200, chunk_overlap=150)
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)
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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('sentence-transformers/BAAI/bge-m3')
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# Initialize the text splitter
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text_splitter = RecursiveCharacterTextSplitter(chunk_size=1200, chunk_overlap=150)
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