Format code with ruff
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1 changed files with 10 additions and 8 deletions
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@ -71,23 +71,23 @@ def workspace_filter_condition(workspace: str) -> models.FieldCondition:
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class QdrantVectorDBStorage(BaseVectorStorage):
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class QdrantVectorDBStorage(BaseVectorStorage):
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"""
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"""
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Qdrant vector database storage implementation.
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Qdrant vector database storage implementation.
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This class provides a storage backend for vector embeddings using Qdrant.
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This class provides a storage backend for vector embeddings using Qdrant.
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It supports multi-tenant isolation through workspace-based filtering and
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It supports multi-tenant isolation through workspace-based filtering and
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optional collection suffixes for different embedding dimensions or other purposes.
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optional collection suffixes for different embedding dimensions or other purposes.
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Configuration:
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Configuration:
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- Standard parameters: namespace, workspace, embedding_func, etc.
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- Standard parameters: namespace, workspace, embedding_func, etc.
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- Qdrant-specific parameters in vector_db_storage_cls_kwargs:
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- Qdrant-specific parameters in vector_db_storage_cls_kwargs:
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- cosine_better_than_threshold: Required similarity threshold
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- cosine_better_than_threshold: Required similarity threshold
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- collection_suffix: Optional suffix for collection names
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- collection_suffix: Optional suffix for collection names
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Note on collection_suffix:
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Note on collection_suffix:
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If specified, this suffix will be appended to all collection names.
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If specified, this suffix will be appended to all collection names.
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This allows creating separate sets of collections for different purposes.
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This allows creating separate sets of collections for different purposes.
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To access this data later, you must use the same suffix in all LightRAG
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To access this data later, you must use the same suffix in all LightRAG
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instances that need to access this data.
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instances that need to access this data.
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Examples of collection_suffix usage:
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Examples of collection_suffix usage:
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- Embedding dimensions: "768d", "1536d", "3072d"
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- Embedding dimensions: "768d", "1536d", "3072d"
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- Environments: "dev", "staging", "prod"
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- Environments: "dev", "staging", "prod"
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@ -96,7 +96,7 @@ class QdrantVectorDBStorage(BaseVectorStorage):
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- Models: "ada002", "e5large", "bge"
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- Models: "ada002", "e5large", "bge"
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- Special purposes: "filtered", "augmented", "synthetic"
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- Special purposes: "filtered", "augmented", "synthetic"
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"""
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"""
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def __init__(
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def __init__(
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self, namespace, global_config, embedding_func, workspace=None, meta_fields=None
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self, namespace, global_config, embedding_func, workspace=None, meta_fields=None
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):
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):
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@ -319,11 +319,13 @@ class QdrantVectorDBStorage(BaseVectorStorage):
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kwargs = self.global_config.get("vector_db_storage_cls_kwargs", {})
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kwargs = self.global_config.get("vector_db_storage_cls_kwargs", {})
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collection_suffix = kwargs.get("collection_suffix", "")
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collection_suffix = kwargs.get("collection_suffix", "")
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cosine_threshold = kwargs.get("cosine_better_than_threshold")
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cosine_threshold = kwargs.get("cosine_better_than_threshold")
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# Get legacy namespace for data migration from old version
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# Get legacy namespace for data migration from old version
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if effective_workspace:
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if effective_workspace:
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if collection_suffix:
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if collection_suffix:
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self.legacy_namespace = f"{effective_workspace}_{self.namespace}_{collection_suffix}"
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self.legacy_namespace = (
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f"{effective_workspace}_{self.namespace}_{collection_suffix}"
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)
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else:
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else:
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self.legacy_namespace = f"{effective_workspace}_{self.namespace}"
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self.legacy_namespace = f"{effective_workspace}_{self.namespace}"
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else:
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else:
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@ -345,7 +347,7 @@ class QdrantVectorDBStorage(BaseVectorStorage):
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)
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)
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else:
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else:
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self.final_namespace = f"lightrag_vdb_{self.namespace}"
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self.final_namespace = f"lightrag_vdb_{self.namespace}"
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logger.debug(
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logger.debug(
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f"Using shared collection '{self.final_namespace}' with workspace '{self.effective_workspace}' for payload-based partitioning"
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f"Using shared collection '{self.final_namespace}' with workspace '{self.effective_workspace}' for payload-based partitioning"
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)
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)
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