Spaces:
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on
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Running
on
T4
fix error for self.collection_name
Browse files
utils/__pycache__/retriever.cpython-311.pyc
CHANGED
Binary files a/utils/__pycache__/retriever.cpython-311.pyc and b/utils/__pycache__/retriever.cpython-311.pyc differ
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utils/__pycache__/vectorstore_interface.cpython-311.pyc
CHANGED
Binary files a/utils/__pycache__/vectorstore_interface.cpython-311.pyc and b/utils/__pycache__/vectorstore_interface.cpython-311.pyc differ
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utils/vectorstore_interface.py
CHANGED
@@ -73,7 +73,7 @@ class QdrantVectorStore(VectorStoreInterface):
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# api_key=api_key
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#)
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-
self.collection_name = collection_name
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# Initialize embedding model as None - will be loaded on first use
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self._embedding_model = None
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self._current_model_name = None
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@@ -116,7 +116,7 @@ class QdrantVectorStore(VectorStoreInterface):
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filter_obj = kwargs.get('filter', None)
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# Perform vector search
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-
logging.info(f"Searching Qdrant collection '{
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search_result = self.client.search(
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collection_name=collection_name,
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query_vector=query_embedding,
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# api_key=api_key
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#)
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+
#self.collection_name = collection_name
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# Initialize embedding model as None - will be loaded on first use
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self._embedding_model = None
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self._current_model_name = None
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filter_obj = kwargs.get('filter', None)
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# Perform vector search
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+
logging.info(f"Searching Qdrant collection '{collection_name}' for top {top_k} results")
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search_result = self.client.search(
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collection_name=collection_name,
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query_vector=query_embedding,
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