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@ -28,6 +28,7 @@ if TYPE_CHECKING:
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import chromadb.config
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from chromadb.api.types import ID, OneOrMany, Where, WhereDocument
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logger = logging.getLogger()
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DEFAULT_K = 4 # Number of Documents to return.
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@ -80,6 +81,7 @@ class Chroma(VectorStore):
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try:
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import chromadb
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import chromadb.config
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from chromadb.utils import embedding_functions
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except ImportError:
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raise ImportError(
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"Could not import chromadb python package. "
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@ -122,10 +124,12 @@ class Chroma(VectorStore):
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_client_settings.persist_directory or persist_directory
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)
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self._embedding_function = embedding_function
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self._embedding_function = (
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embedding_function or embedding_functions.DefaultEmbeddingFunction()
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)
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self._collection = self._client.get_or_create_collection(
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name=collection_name,
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embedding_function=None,
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embedding_function=self._embedding_function,
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metadata=collection_metadata,
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)
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self.override_relevance_score_fn = relevance_score_fn
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