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Add local vector store implementation as Azure Search Documents alter… #1848

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28 changes: 27 additions & 1 deletion graphrag/vector_stores/factory.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,12 +4,13 @@
"""A package containing a factory and supported vector store types."""

from enum import Enum
from typing import ClassVar
from typing import Any, ClassVar

from graphrag.vector_stores.azure_ai_search import AzureAISearchVectorStore
from graphrag.vector_stores.base import BaseVectorStore
from graphrag.vector_stores.cosmosdb import CosmosDBVectoreStore
from graphrag.vector_stores.lancedb import LanceDBVectorStore
from graphrag.vector_stores.local_vector_store import LocalVectorStore


class VectorStoreType(str, Enum):
Expand All @@ -18,6 +19,7 @@ class VectorStoreType(str, Enum):
LanceDB = "lancedb"
AzureAISearch = "azure_ai_search"
CosmosDB = "cosmosdb"
Local = "local"


class VectorStoreFactory:
Expand Down Expand Up @@ -45,8 +47,32 @@ def create_vector_store(
return AzureAISearchVectorStore(**kwargs)
case VectorStoreType.CosmosDB:
return CosmosDBVectoreStore(**kwargs)
case VectorStoreType.Local:
return LocalVectorStore(**kwargs)
case _:
if vector_store_type in cls.vector_store_types:
return cls.vector_store_types[vector_store_type](**kwargs)
msg = f"Unknown vector store type: {vector_store_type}"
raise ValueError(msg)

def get_vector_store(
store_type: VectorStoreType,
collection_name: str,
**kwargs: Any,
) -> BaseVectorStore:
"""Get a vector store instance based on the store type."""
store_map: ClassVar[dict[VectorStoreType, type[BaseVectorStore]]] = {
VectorStoreType.LanceDB: LanceDBVectorStore,
VectorStoreType.AzureAISearch: AzureAISearchVectorStore,
VectorStoreType.CosmosDB: CosmosDBVectoreStore,
VectorStoreType.Local: LocalVectorStore,
}

store_class = store_map.get(store_type)
if store_class is None:
msg = f"Unsupported vector store type: {store_type}"
raise ValueError(msg)

store = store_class(collection_name=collection_name)
store.connect(**kwargs)
return store
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