diff --git a/.github/workflows/python-integration-tests.yml b/.github/workflows/python-integration-tests.yml
index ffdbbef760..238d32c690 100644
--- a/.github/workflows/python-integration-tests.yml
+++ b/.github/workflows/python-integration-tests.yml
@@ -23,7 +23,7 @@ permissions:
 
 concurrency:
   group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
-  # Only run the for the latest commit
+  # only run the for the latest commit
   cancel-in-progress: true
 
 env:
@@ -37,7 +37,7 @@ jobs:
       matrix:
         python-version: ["3.10"]
         os: [ubuntu-latest, windows-latest]
-      fail-fast: false # Continue running all jobs even if one fails
+      fail-fast: false # continue running all jobs even if one fails
     env:
       DEBUG: 1
 
@@ -84,6 +84,17 @@ jobs:
         id: azuright
         uses: potatoqualitee/azuright@v1.1
 
+      # For more information on installation/setup of Azure Cosmos DB Emulator
+      # https://learn.microsoft.com/en-us/azure/cosmos-db/how-to-develop-emulator?tabs=docker-linux%2Cpython&pivots=api-nosql
+      # Note: the emulator is only available on Windows runners. It can take longer than the default to initially startup so we increase the default timeout.
+      # If a job fails due to timeout, restarting the cicd job usually resolves the problem.
+      - name: Install Azure Cosmos DB Emulator
+        if: runner.os == 'Windows'
+        run: |
+          Write-Host "Launching Cosmos DB Emulator"
+          Import-Module "$env:ProgramFiles\Azure Cosmos DB Emulator\PSModules\Microsoft.Azure.CosmosDB.Emulator"
+          Start-CosmosDbEmulator -Timeout 500
+
       - name: Integration Test
         run: |
           poetry run poe test_integration
diff --git a/.semversioner/next-release/patch-20241121202210026640.json b/.semversioner/next-release/patch-20241121202210026640.json
new file mode 100644
index 0000000000..ac65aaf814
--- /dev/null
+++ b/.semversioner/next-release/patch-20241121202210026640.json
@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "Implement cosmosdb storage option for cache and output"
+}
diff --git a/DEVELOPING.md b/DEVELOPING.md
index be018e0583..d344bc7cd3 100644
--- a/DEVELOPING.md
+++ b/DEVELOPING.md
@@ -45,7 +45,6 @@ graphrag
 ├── config          # configuration management
 ├── index           # indexing engine
 |    └─ run/run.py  #  main entrypoint to build an index
-├── llm             # generic llm interfaces
 ├── logger          # logger module supporting several options
 │    └─ factory.py  #  └─ main entrypoint to create a logger
 ├── model           # data model definitions associated with the knowledge graph
diff --git a/dictionary.txt b/dictionary.txt
index 0a18cd9272..575fe55548 100644
--- a/dictionary.txt
+++ b/dictionary.txt
@@ -28,6 +28,7 @@ ints
 
 # Azure
 abfs
+cosmosdb
 Hnsw
 odata
 
diff --git a/graphrag/cache/factory.py b/graphrag/cache/factory.py
index 90f91a73b6..7490233cb7 100644
--- a/graphrag/cache/factory.py
+++ b/graphrag/cache/factory.py
@@ -9,6 +9,7 @@
 
 from graphrag.config.enums import CacheType
 from graphrag.storage.blob_pipeline_storage import BlobPipelineStorage
+from graphrag.storage.cosmosdb_pipeline_storage import create_cosmosdb_storage
 from graphrag.storage.file_pipeline_storage import FilePipelineStorage
 
 if TYPE_CHECKING:
@@ -50,6 +51,8 @@ def create_cache(
                 )
             case CacheType.blob:
                 return JsonPipelineCache(BlobPipelineStorage(**kwargs))
+            case CacheType.cosmosdb:
+                return JsonPipelineCache(create_cosmosdb_storage(**kwargs))
             case _:
                 if cache_type in cls.cache_types:
                     return cls.cache_types[cache_type](**kwargs)
diff --git a/graphrag/config/create_graphrag_config.py b/graphrag/config/create_graphrag_config.py
index c1da51126d..1155cee46f 100644
--- a/graphrag/config/create_graphrag_config.py
+++ b/graphrag/config/create_graphrag_config.py
@@ -362,6 +362,7 @@ def hydrate_parallelization_params(
                 storage_account_blob_url=reader.str(Fragment.storage_account_blob_url),
                 container_name=reader.str(Fragment.container_name),
                 base_dir=reader.str(Fragment.base_dir) or defs.CACHE_BASE_DIR,
+                cosmosdb_account_url=reader.str(Fragment.cosmosdb_account_url),
             )
         with (
             reader.envvar_prefix(Section.reporting),
@@ -383,6 +384,7 @@ def hydrate_parallelization_params(
                 storage_account_blob_url=reader.str(Fragment.storage_account_blob_url),
                 container_name=reader.str(Fragment.container_name),
                 base_dir=reader.str(Fragment.base_dir) or defs.STORAGE_BASE_DIR,
+                cosmosdb_account_url=reader.str(Fragment.cosmosdb_account_url),
             )
 
         with (
@@ -667,6 +669,7 @@ class Fragment(str, Enum):
     concurrent_requests = "CONCURRENT_REQUESTS"
     conn_string = "CONNECTION_STRING"
     container_name = "CONTAINER_NAME"
+    cosmosdb_account_url = "COSMOSDB_ACCOUNT_URL"
     deployment_name = "DEPLOYMENT_NAME"
     description = "DESCRIPTION"
     enabled = "ENABLED"
diff --git a/graphrag/config/enums.py b/graphrag/config/enums.py
index 4e27833395..4ff1e35571 100644
--- a/graphrag/config/enums.py
+++ b/graphrag/config/enums.py
@@ -19,6 +19,8 @@ class CacheType(str, Enum):
     """The none cache configuration type."""
     blob = "blob"
     """The blob cache configuration type."""
+    cosmosdb = "cosmosdb"
+    """The cosmosdb cache configuration type"""
 
     def __repr__(self):
         """Get a string representation."""
@@ -60,6 +62,8 @@ class StorageType(str, Enum):
     """The memory storage type."""
     blob = "blob"
     """The blob storage type."""
+    cosmosdb = "cosmosdb"
+    """The cosmosdb storage type"""
 
     def __repr__(self):
         """Get a string representation."""
diff --git a/graphrag/config/init_content.py b/graphrag/config/init_content.py
index d34e6ea88b..8e3000ab3b 100644
--- a/graphrag/config/init_content.py
+++ b/graphrag/config/init_content.py
@@ -63,7 +63,7 @@
 ## connection_string and container_name must be provided
 
 cache:
-  type: {defs.CACHE_TYPE.value} # or blob
+  type: {defs.CACHE_TYPE.value} # one of [blob, cosmosdb, file]
   base_dir: "{defs.CACHE_BASE_DIR}"
 
 reporting:
@@ -71,7 +71,7 @@
   base_dir: "{defs.REPORTING_BASE_DIR}"
 
 storage:
-  type: {defs.STORAGE_TYPE.value} # or blob
+  type: {defs.STORAGE_TYPE.value} # one of [blob, cosmosdb, file]
   base_dir: "{defs.STORAGE_BASE_DIR}"
 
 ## only turn this on if running `graphrag index` with custom settings
diff --git a/graphrag/config/input_models/cache_config_input.py b/graphrag/config/input_models/cache_config_input.py
index fe88d35b44..4c1ba35c57 100644
--- a/graphrag/config/input_models/cache_config_input.py
+++ b/graphrag/config/input_models/cache_config_input.py
@@ -16,3 +16,4 @@ class CacheConfigInput(TypedDict):
     connection_string: NotRequired[str | None]
     container_name: NotRequired[str | None]
     storage_account_blob_url: NotRequired[str | None]
+    cosmosdb_account_url: NotRequired[str | None]
diff --git a/graphrag/config/input_models/storage_config_input.py b/graphrag/config/input_models/storage_config_input.py
index cc5caf7952..4b0e85a2e5 100644
--- a/graphrag/config/input_models/storage_config_input.py
+++ b/graphrag/config/input_models/storage_config_input.py
@@ -16,3 +16,4 @@ class StorageConfigInput(TypedDict):
     connection_string: NotRequired[str | None]
     container_name: NotRequired[str | None]
     storage_account_blob_url: NotRequired[str | None]
+    cosmosdb_account_url: NotRequired[str | None]
diff --git a/graphrag/config/models/cache_config.py b/graphrag/config/models/cache_config.py
index 4589edce0b..fb4d22b229 100644
--- a/graphrag/config/models/cache_config.py
+++ b/graphrag/config/models/cache_config.py
@@ -27,3 +27,6 @@ class CacheConfig(BaseModel):
     storage_account_blob_url: str | None = Field(
         description="The storage account blob url to use.", default=None
     )
+    cosmosdb_account_url: str | None = Field(
+        description="The cosmosdb account url to use.", default=None
+    )
diff --git a/graphrag/config/models/storage_config.py b/graphrag/config/models/storage_config.py
index dcf41b9222..445a22b9a1 100644
--- a/graphrag/config/models/storage_config.py
+++ b/graphrag/config/models/storage_config.py
@@ -28,3 +28,6 @@ class StorageConfig(BaseModel):
     storage_account_blob_url: str | None = Field(
         description="The storage account blob url to use.", default=None
     )
+    cosmosdb_account_url: str | None = Field(
+        description="The cosmosdb account url to use.", default=None
+    )
diff --git a/graphrag/index/config/cache.py b/graphrag/index/config/cache.py
index 62d485d107..2ad6d5b8af 100644
--- a/graphrag/index/config/cache.py
+++ b/graphrag/index/config/cache.py
@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing 'PipelineCacheConfig', 'PipelineFileCacheConfig', 'PipelineMemoryCacheConfig', 'PipelineBlobCacheConfig' models."""
+"""A module containing 'PipelineCacheConfig', 'PipelineFileCacheConfig', 'PipelineMemoryCacheConfig', 'PipelineBlobCacheConfig', 'PipelineCosmosDBCacheConfig' models."""
 
 from __future__ import annotations
 
@@ -71,9 +71,35 @@ class PipelineBlobCacheConfig(PipelineCacheConfig[Literal[CacheType.blob]]):
     """The storage account blob url for cache"""
 
 
+class PipelineCosmosDBCacheConfig(PipelineCacheConfig[Literal[CacheType.cosmosdb]]):
+    """Represents the cosmosdb cache configuration for the pipeline."""
+
+    type: Literal[CacheType.cosmosdb] = CacheType.cosmosdb
+    """The type of cache."""
+
+    base_dir: str | None = Field(
+        description="The cosmosdb database name for the cache.", default=None
+    )
+    """The cosmosdb database name for the cache."""
+
+    container_name: str = Field(description="The container name for cache.", default="")
+    """The container name for cache."""
+
+    connection_string: str | None = Field(
+        description="The cosmosdb primary key for the cache.", default=None
+    )
+    """The cosmosdb primary key for the cache."""
+
+    cosmosdb_account_url: str | None = Field(
+        description="The cosmosdb account url for cache", default=None
+    )
+    """The cosmosdb account url for cache"""
+
+
 PipelineCacheConfigTypes = (
     PipelineFileCacheConfig
     | PipelineMemoryCacheConfig
     | PipelineBlobCacheConfig
     | PipelineNoneCacheConfig
+    | PipelineCosmosDBCacheConfig
 )
diff --git a/graphrag/index/config/storage.py b/graphrag/index/config/storage.py
index 1e939cdf00..482b4056e4 100644
--- a/graphrag/index/config/storage.py
+++ b/graphrag/index/config/storage.py
@@ -1,7 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
 
-"""A module containing 'PipelineStorageConfig', 'PipelineFileStorageConfig' and 'PipelineMemoryStorageConfig' models."""
+"""A module containing 'PipelineStorageConfig', 'PipelineFileStorageConfig','PipelineMemoryStorageConfig', 'PipelineBlobStorageConfig', and 'PipelineCosmosDBStorageConfig' models."""
 
 from __future__ import annotations
 
@@ -66,6 +66,38 @@ class PipelineBlobStorageConfig(PipelineStorageConfig[Literal[StorageType.blob]]
     """The storage account blob url."""
 
 
+class PipelineCosmosDBStorageConfig(
+    PipelineStorageConfig[Literal[StorageType.cosmosdb]]
+):
+    """Represents the cosmosdb storage configuration for the pipeline."""
+
+    type: Literal[StorageType.cosmosdb] = StorageType.cosmosdb
+    """The type of storage."""
+
+    connection_string: str | None = Field(
+        description="The cosmosdb storage primary key for the storage.", default=None
+    )
+    """The cosmosdb storage primary key for the storage."""
+
+    container_name: str = Field(
+        description="The container name for storage", default=""
+    )
+    """The container name for storage."""
+
+    base_dir: str | None = Field(
+        description="The base directory for the storage.", default=None
+    )
+    """The base directory for the storage."""
+
+    cosmosdb_account_url: str | None = Field(
+        description="The cosmosdb account url.", default=None
+    )
+    """The cosmosdb account url."""
+
+
 PipelineStorageConfigTypes = (
-    PipelineFileStorageConfig | PipelineMemoryStorageConfig | PipelineBlobStorageConfig
+    PipelineFileStorageConfig
+    | PipelineMemoryStorageConfig
+    | PipelineBlobStorageConfig
+    | PipelineCosmosDBStorageConfig
 )
diff --git a/graphrag/index/create_pipeline_config.py b/graphrag/index/create_pipeline_config.py
index 2c8fe4fc05..4d88c5ad57 100644
--- a/graphrag/index/create_pipeline_config.py
+++ b/graphrag/index/create_pipeline_config.py
@@ -20,6 +20,7 @@
 from graphrag.index.config.cache import (
     PipelineBlobCacheConfig,
     PipelineCacheConfigTypes,
+    PipelineCosmosDBCacheConfig,
     PipelineFileCacheConfig,
     PipelineMemoryCacheConfig,
     PipelineNoneCacheConfig,
@@ -44,6 +45,7 @@
 )
 from graphrag.index.config.storage import (
     PipelineBlobStorageConfig,
+    PipelineCosmosDBStorageConfig,
     PipelineFileStorageConfig,
     PipelineMemoryStorageConfig,
     PipelineStorageConfigTypes,
@@ -420,6 +422,26 @@ def _get_storage_config(
                 base_dir=storage_settings.base_dir,
                 storage_account_blob_url=storage_account_blob_url,
             )
+        case StorageType.cosmosdb:
+            cosmosdb_account_url = storage_settings.cosmosdb_account_url
+            connection_string = storage_settings.connection_string
+            base_dir = storage_settings.base_dir
+            container_name = storage_settings.container_name
+            if cosmosdb_account_url is None:
+                msg = "CosmosDB account url must be provided for cosmosdb storage."
+                raise ValueError(msg)
+            if base_dir is None:
+                msg = "Base directory must be provided for cosmosdb storage."
+                raise ValueError(msg)
+            if container_name is None:
+                msg = "Container name must be provided for cosmosdb storage."
+                raise ValueError(msg)
+            return PipelineCosmosDBStorageConfig(
+                cosmosdb_account_url=cosmosdb_account_url,
+                connection_string=connection_string,
+                base_dir=storage_settings.base_dir,
+                container_name=container_name,
+            )
         case _:
             # relative to the root_dir
             base_dir = storage_settings.base_dir
@@ -457,6 +479,26 @@ def _get_cache_config(
                 base_dir=settings.cache.base_dir,
                 storage_account_blob_url=storage_account_blob_url,
             )
+        case CacheType.cosmosdb:
+            cosmosdb_account_url = settings.cache.cosmosdb_account_url
+            connection_string = settings.cache.connection_string
+            base_dir = settings.cache.base_dir
+            container_name = settings.cache.container_name
+            if base_dir is None:
+                msg = "Base directory must be provided for cosmosdb cache."
+                raise ValueError(msg)
+            if container_name is None:
+                msg = "Container name must be provided for cosmosdb cache."
+                raise ValueError(msg)
+            if connection_string is None and cosmosdb_account_url is None:
+                msg = "Connection string or cosmosDB account url must be provided for cosmosdb cache."
+                raise ValueError(msg)
+            return PipelineCosmosDBCacheConfig(
+                cosmosdb_account_url=cosmosdb_account_url,
+                connection_string=connection_string,
+                base_dir=base_dir,
+                container_name=container_name,
+            )
         case _:
             # relative to root dir
             return PipelineFileCacheConfig(base_dir="./cache")
diff --git a/graphrag/index/run/workflow.py b/graphrag/index/run/workflow.py
index 4379f36b7f..e4758fd951 100644
--- a/graphrag/index/run/workflow.py
+++ b/graphrag/index/run/workflow.py
@@ -95,8 +95,12 @@ async def _process_workflow(
         return None
 
     context.stats.workflows[workflow_name] = {"overall": 0.0}
+
     await _inject_workflow_data_dependencies(
-        workflow, workflow_dependencies, dataset, context.storage
+        workflow,
+        workflow_dependencies,
+        dataset,
+        context.storage,
     )
 
     workflow_start_time = time.time()
diff --git a/graphrag/query/input/loaders/utils.py b/graphrag/query/input/loaders/utils.py
index 3c680f0faa..3878232985 100644
--- a/graphrag/query/input/loaders/utils.py
+++ b/graphrag/query/input/loaders/utils.py
@@ -165,8 +165,7 @@ def to_optional_float(data: pd.Series, column_name: str | None) -> float | None:
         if value is None:
             return None
         if not isinstance(value, float):
-            msg = f"value is not a float: {value} ({type(value)})"
-            raise ValueError(msg)
+            return float(value)
     else:
         msg = f"Column {column_name} not found in data"
         raise ValueError(msg)
diff --git a/graphrag/storage/blob_pipeline_storage.py b/graphrag/storage/blob_pipeline_storage.py
index c7081644e8..701e59e25c 100644
--- a/graphrag/storage/blob_pipeline_storage.py
+++ b/graphrag/storage/blob_pipeline_storage.py
@@ -65,11 +65,11 @@ def __init__(
             self._container_name,
             self._path_prefix,
         )
-        self.create_container()
+        self._create_container()
 
-    def create_container(self) -> None:
+    def _create_container(self) -> None:
         """Create the container if it does not exist."""
-        if not self.container_exists():
+        if not self._container_exists():
             container_name = self._container_name
             container_names = [
                 container.name
@@ -78,12 +78,12 @@ def create_container(self) -> None:
             if container_name not in container_names:
                 self._blob_service_client.create_container(container_name)
 
-    def delete_container(self) -> None:
+    def _delete_container(self) -> None:
         """Delete the container."""
-        if self.container_exists():
+        if self._container_exists():
             self._blob_service_client.delete_container(self._container_name)
 
-    def container_exists(self) -> bool:
+    def _container_exists(self) -> bool:
         """Check if the container exists."""
         container_name = self._container_name
         container_names = [
@@ -119,7 +119,7 @@ def find(
             file_pattern.pattern,
         )
 
-        def blobname(blob_name: str) -> str:
+        def _blobname(blob_name: str) -> str:
             if blob_name.startswith(self._path_prefix):
                 blob_name = blob_name.replace(self._path_prefix, "", 1)
             if blob_name.startswith("/"):
@@ -146,7 +146,7 @@ def item_filter(item: dict[str, Any]) -> bool:
                 if match and blob.name.startswith(base_dir):
                     group = match.groupdict()
                     if item_filter(group):
-                        yield (blobname(blob.name), group)
+                        yield (_blobname(blob.name), group)
                         num_loaded += 1
                         if max_count > 0 and num_loaded >= max_count:
                             break
@@ -203,7 +203,7 @@ async def set(self, key: str, value: Any, encoding: str | None = None) -> None:
         except Exception:
             log.exception("Error setting key %s: %s", key)
 
-    def set_df_json(self, key: str, dataframe: Any) -> None:
+    def _set_df_json(self, key: str, dataframe: Any) -> None:
         """Set a json dataframe."""
         if self._connection_string is None and self._storage_account_name:
             dataframe.to_json(
@@ -225,7 +225,7 @@ def set_df_json(self, key: str, dataframe: Any) -> None:
                 force_ascii=False,
             )
 
-    def set_df_parquet(self, key: str, dataframe: Any) -> None:
+    def _set_df_parquet(self, key: str, dataframe: Any) -> None:
         """Set a parquet dataframe."""
         if self._connection_string is None and self._storage_account_name:
             dataframe.to_parquet(
diff --git a/graphrag/storage/cosmosdb_pipeline_storage.py b/graphrag/storage/cosmosdb_pipeline_storage.py
new file mode 100644
index 0000000000..9de9cf6dc0
--- /dev/null
+++ b/graphrag/storage/cosmosdb_pipeline_storage.py
@@ -0,0 +1,348 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Azure CosmosDB Storage implementation of PipelineStorage."""
+
+import json
+import logging
+import re
+from collections.abc import Iterator
+from io import BytesIO, StringIO
+from typing import Any
+
+import pandas as pd
+from azure.cosmos import ContainerProxy, CosmosClient, DatabaseProxy
+from azure.cosmos.exceptions import CosmosResourceNotFoundError
+from azure.cosmos.partition_key import PartitionKey
+from azure.identity import DefaultAzureCredential
+from datashaper import Progress
+
+from graphrag.logger.base import ProgressLogger
+from graphrag.storage.pipeline_storage import PipelineStorage
+
+log = logging.getLogger(__name__)
+
+
+class CosmosDBPipelineStorage(PipelineStorage):
+    """The CosmosDB-Storage Implementation."""
+
+    _cosmos_client: CosmosClient
+    _database_client: DatabaseProxy | None
+    _container_client: ContainerProxy | None
+    _cosmosdb_account_url: str | None
+    _connection_string: str | None
+    _database_name: str
+    _container_name: str
+    _encoding: str
+
+    def __init__(
+        self,
+        database_name: str,
+        container_name: str,
+        cosmosdb_account_url: str | None = None,
+        connection_string: str | None = None,
+        encoding: str = "utf-8",
+    ):
+        """Initialize the CosmosDB Storage."""
+        if connection_string:
+            self._cosmos_client = CosmosClient.from_connection_string(connection_string)
+        else:
+            if cosmosdb_account_url is None:
+                msg = (
+                    "Either connection_string or cosmosdb_account_url must be provided."
+                )
+                raise ValueError(msg)
+            self._cosmos_client = CosmosClient(
+                url=cosmosdb_account_url,
+                credential=DefaultAzureCredential(),
+            )
+        self._encoding = encoding
+        self._database_name = database_name
+        self._connection_string = connection_string
+        self._cosmosdb_account_url = cosmosdb_account_url
+        self._container_name = container_name
+        self._cosmosdb_account_name = (
+            cosmosdb_account_url.split("//")[1].split(".")[0]
+            if cosmosdb_account_url
+            else None
+        )
+        log.info(
+            "creating cosmosdb storage with account: %s and database: %s and container: %s",
+            self._cosmosdb_account_name,
+            self._database_name,
+            self._container_name,
+        )
+        self._create_database()
+        self._create_container()
+
+    def _create_database(self) -> None:
+        """Create the database if it doesn't exist."""
+        self._database_client = self._cosmos_client.create_database_if_not_exists(
+            id=self._database_name
+        )
+
+    def _delete_database(self) -> None:
+        """Delete the database if it exists."""
+        if self._database_client:
+            self._database_client = self._cosmos_client.delete_database(
+                self._database_client
+            )
+        self._container_client = None
+
+    def _create_container(self) -> None:
+        """Create a container for the current container name if it doesn't exist."""
+        partition_key = PartitionKey(path="/id", kind="Hash")
+        if self._database_client:
+            self._container_client = (
+                self._database_client.create_container_if_not_exists(
+                    id=self._container_name,
+                    partition_key=partition_key,
+                )
+            )
+
+    def _delete_container(self) -> None:
+        """Delete the container with the current container name if it exists."""
+        if self._database_client and self._container_client:
+            self._container_client = self._database_client.delete_container(
+                self._container_client
+            )
+
+    def find(
+        self,
+        file_pattern: re.Pattern[str],
+        base_dir: str | None = None,
+        progress: ProgressLogger | None = None,
+        file_filter: dict[str, Any] | None = None,
+        max_count=-1,
+    ) -> Iterator[tuple[str, dict[str, Any]]]:
+        """Find documents in a Cosmos DB container using a file pattern regex and custom file filter (optional).
+
+        Params:
+            base_dir: The name of the base directory (not used in Cosmos DB context).
+            file_pattern: The file pattern to use.
+            file_filter: A dictionary of key-value pairs to filter the documents.
+            max_count: The maximum number of documents to return. If -1, all documents are returned.
+
+        Returns
+        -------
+            An iterator of document IDs and their corresponding regex matches.
+        """
+        base_dir = base_dir or ""
+        log.info(
+            "search container %s for documents matching %s",
+            self._container_name,
+            file_pattern.pattern,
+        )
+        if not self._database_client or not self._container_client:
+            return
+
+        def item_filter(item: dict[str, Any]) -> bool:
+            if file_filter is None:
+                return True
+            return all(
+                re.match(value, item.get(key, "")) for key, value in file_filter.items()
+            )
+
+        try:
+            query = "SELECT * FROM c WHERE RegexMatch(c.id, @pattern)"
+            parameters: list[dict[str, Any]] = [
+                {"name": "@pattern", "value": file_pattern.pattern}
+            ]
+            if file_filter:
+                for key, value in file_filter.items():
+                    query += f" AND c.{key} = @{key}"
+                    parameters.append({"name": f"@{key}", "value": value})
+            items = list(
+                self._container_client.query_items(
+                    query=query,
+                    parameters=parameters,
+                    enable_cross_partition_query=True,
+                )
+            )
+            num_loaded = 0
+            num_total = len(items)
+            if num_total == 0:
+                return
+            num_filtered = 0
+            for item in items:
+                match = file_pattern.match(item["id"])
+                if match:
+                    group = match.groupdict()
+                    if item_filter(group):
+                        yield (item["id"], group)
+                        num_loaded += 1
+                        if max_count > 0 and num_loaded >= max_count:
+                            break
+                    else:
+                        num_filtered += 1
+                else:
+                    num_filtered += 1
+                if progress is not None:
+                    progress(
+                        _create_progress_status(num_loaded, num_filtered, num_total)
+                    )
+        except Exception:
+            log.exception(
+                "An error occurred while searching for documents in Cosmos DB."
+            )
+
+    async def get(
+        self, key: str, as_bytes: bool | None = None, encoding: str | None = None
+    ) -> Any:
+        """Fetch all items in a container that match the given key."""
+        try:
+            if not self._database_client or not self._container_client:
+                return None
+            if as_bytes:
+                prefix = self._get_prefix(key)
+                query = f"SELECT * FROM c WHERE STARTSWITH(c.id, '{prefix}')"  # noqa: S608
+                queried_items = self._container_client.query_items(
+                    query=query, enable_cross_partition_query=True
+                )
+                items_list = list(queried_items)
+                for item in items_list:
+                    item["id"] = item["id"].split(":")[1]
+
+                items_json_str = json.dumps(items_list)
+
+                items_df = pd.read_json(
+                    StringIO(items_json_str), orient="records", lines=False
+                )
+                return items_df.to_parquet()
+            item = self._container_client.read_item(item=key, partition_key=key)
+            item_body = item.get("body")
+            return json.dumps(item_body)
+        except Exception:
+            log.exception("Error reading item %s", key)
+            return None
+
+    async def set(self, key: str, value: Any, encoding: str | None = None) -> None:
+        """Insert the contents of a file into a cosmosdb container for the given filename key.
+
+        For better optimization, the file is destructured such that each row is a unique cosmosdb item.
+        """
+        try:
+            if not self._database_client or not self._container_client:
+                msg = "Database or container not initialized"
+                raise ValueError(msg)  # noqa: TRY301
+            # value represents a parquet file
+            if isinstance(value, bytes):
+                prefix = self._get_prefix(key)
+                value_df = pd.read_parquet(BytesIO(value))
+                value_json = value_df.to_json(
+                    orient="records", lines=False, force_ascii=False
+                )
+                if value_json is None:
+                    log.exception("Error converting output %s to json", key)
+                else:
+                    cosmosdb_item_list = json.loads(value_json)
+                    for cosmosdb_item in cosmosdb_item_list:
+                        # Append an additional prefix to the id to force a unique identifier for the create_final_nodes rows
+                        if prefix == "create_final_nodes":
+                            prefixed_id = f"{prefix}-community_{cosmosdb_item['community']}:{cosmosdb_item['id']}"
+                        else:
+                            prefixed_id = f"{prefix}:{cosmosdb_item['id']}"
+                        cosmosdb_item["id"] = prefixed_id
+                        self._container_client.upsert_item(body=cosmosdb_item)
+            # value represents a cache output or stats.json
+            else:
+                cosmosdb_item = {
+                    "id": key,
+                    "body": json.loads(value),
+                }
+                self._container_client.upsert_item(body=cosmosdb_item)
+        except Exception:
+            log.exception("Error writing item %s", key)
+
+    async def has(self, key: str) -> bool:
+        """Check if the contents of the given filename key exist in the cosmosdb storage."""
+        if not self._database_client or not self._container_client:
+            return False
+        if ".parquet" in key:
+            prefix = self._get_prefix(key)
+            query = f"SELECT * FROM c WHERE STARTSWITH(c.id, '{prefix}')"  # noqa: S608
+            queried_items = self._container_client.query_items(
+                query=query, enable_cross_partition_query=True
+            )
+            return len(list(queried_items)) > 0
+        query = f"SELECT * FROM c WHERE c.id = '{key}'"  # noqa: S608
+        queried_items = self._container_client.query_items(
+            query=query, enable_cross_partition_query=True
+        )
+        return len(list(queried_items)) == 1
+
+    async def delete(self, key: str) -> None:
+        """Delete all cosmosdb items belonging to the given filename key."""
+        if not self._database_client or not self._container_client:
+            return
+        try:
+            if ".parquet" in key:
+                prefix = self._get_prefix(key)
+                query = f"SELECT * FROM c WHERE STARTSWITH(c.id, '{prefix}')"  # noqa: S608
+                queried_items = self._container_client.query_items(
+                    query=query, enable_cross_partition_query=True
+                )
+                for item in queried_items:
+                    self._container_client.delete_item(
+                        item=item["id"], partition_key=item["id"]
+                    )
+            else:
+                self._container_client.delete_item(item=key, partition_key=key)
+        except CosmosResourceNotFoundError:
+            return
+        except Exception:
+            log.exception("Error deleting item %s", key)
+
+    async def clear(self) -> None:
+        """Clear all contents from storage.
+
+        # This currently deletes the database, including all containers and data within it.
+        # TODO: We should decide what granularity of deletion is the ideal behavior (e.g. delete all items within a container, delete the current container, delete the current database)
+        """
+        self._delete_database()
+
+    def keys(self) -> list[str]:
+        """Return the keys in the storage."""
+        msg = "CosmosDB storage does yet not support listing keys."
+        raise NotImplementedError(msg)
+
+    def child(self, name: str | None) -> PipelineStorage:
+        """Create a child storage instance."""
+        return self
+
+    def _get_prefix(self, key: str) -> str:
+        """Get the prefix of the filename key."""
+        return key.split(".")[0]
+
+
+# TODO remove this helper function and have the factory instantiate the class directly
+# once the new config system is in place and will enforce the correct types/existence of certain fields
+def create_cosmosdb_storage(**kwargs: Any) -> PipelineStorage:
+    """Create a CosmosDB storage instance."""
+    log.info("Creating cosmosdb storage")
+    cosmosdb_account_url = kwargs.get("cosmosdb_account_url")
+    connection_string = kwargs.get("connection_string")
+    base_dir = kwargs["base_dir"]
+    container_name = kwargs["container_name"]
+    if not base_dir:
+        msg = "No base_dir provided for database name"
+        raise ValueError(msg)
+    if connection_string is None and cosmosdb_account_url is None:
+        msg = "connection_string or cosmosdb_account_url is required."
+        raise ValueError(msg)
+    return CosmosDBPipelineStorage(
+        cosmosdb_account_url=cosmosdb_account_url,
+        connection_string=connection_string,
+        database_name=base_dir,
+        container_name=container_name,
+    )
+
+
+def _create_progress_status(
+    num_loaded: int, num_filtered: int, num_total: int
+) -> Progress:
+    return Progress(
+        total_items=num_total,
+        completed_items=num_loaded + num_filtered,
+        description=f"{num_loaded} files loaded ({num_filtered} filtered)",
+    )
diff --git a/graphrag/storage/factory.py b/graphrag/storage/factory.py
index d245442a75..e3346af401 100644
--- a/graphrag/storage/factory.py
+++ b/graphrag/storage/factory.py
@@ -9,6 +9,7 @@
 
 from graphrag.config.enums import StorageType
 from graphrag.storage.blob_pipeline_storage import create_blob_storage
+from graphrag.storage.cosmosdb_pipeline_storage import create_cosmosdb_storage
 from graphrag.storage.file_pipeline_storage import create_file_storage
 from graphrag.storage.memory_pipeline_storage import MemoryPipelineStorage
 
@@ -37,6 +38,8 @@ def create_storage(
         match storage_type:
             case StorageType.blob:
                 return create_blob_storage(**kwargs)
+            case StorageType.cosmosdb:
+                return create_cosmosdb_storage(**kwargs)
             case StorageType.file:
                 return create_file_storage(**kwargs)
             case StorageType.memory:
diff --git a/graphrag/storage/file_pipeline_storage.py b/graphrag/storage/file_pipeline_storage.py
index 895616d62a..f64df723b4 100644
--- a/graphrag/storage/file_pipeline_storage.py
+++ b/graphrag/storage/file_pipeline_storage.py
@@ -47,7 +47,6 @@ def find(
         def item_filter(item: dict[str, Any]) -> bool:
             if file_filter is None:
                 return True
-
             return all(re.match(value, item[key]) for key, value in file_filter.items())
 
         search_path = Path(self._root_dir) / (base_dir or "")
diff --git a/graphrag/vector_stores/factory.py b/graphrag/vector_stores/factory.py
index eedbefab13..c1fc89abe1 100644
--- a/graphrag/vector_stores/factory.py
+++ b/graphrag/vector_stores/factory.py
@@ -19,7 +19,10 @@ class VectorStoreType(str, Enum):
 
 
 class VectorStoreFactory:
-    """A factory class for vector stores."""
+    """A factory for vector stores.
+
+    Includes a method for users to register a custom vector store implementation.
+    """
 
     vector_store_types: ClassVar[dict[str, type]] = {}
 
diff --git a/poetry.lock b/poetry.lock
index 841b2c8c39..dc21b3802e 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -190,19 +190,19 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""}
 
 [[package]]
 name = "attrs"
-version = "24.2.0"
+version = "24.3.0"
 description = "Classes Without Boilerplate"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"},
-    {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"},
+    {file = "attrs-24.3.0-py3-none-any.whl", hash = "sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308"},
+    {file = "attrs-24.3.0.tar.gz", hash = "sha256:8f5c07333d543103541ba7be0e2ce16eeee8130cb0b3f9238ab904ce1e85baff"},
 ]
 
 [package.extras]
 benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
@@ -254,6 +254,21 @@ typing-extensions = ">=4.6.0"
 [package.extras]
 aio = ["aiohttp (>=3.0)"]
 
+[[package]]
+name = "azure-cosmos"
+version = "4.9.0"
+description = "Microsoft Azure Cosmos Client Library for Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "azure_cosmos-4.9.0-py3-none-any.whl", hash = "sha256:3b60eaa01a16a857d0faf0cec304bac6fa8620a81bc268ce760339032ef617fe"},
+    {file = "azure_cosmos-4.9.0.tar.gz", hash = "sha256:c70db4cbf55b0ff261ed7bb8aa325a5dfa565d3c6eaa43d75d26ae5e2ad6d74f"},
+]
+
+[package.dependencies]
+azure-core = ">=1.30.0"
+typing-extensions = ">=4.6.0"
+
 [[package]]
 name = "azure-identity"
 version = "1.19.0"
@@ -381,13 +396,13 @@ css = ["tinycss2 (>=1.1.0,<1.5)"]
 
 [[package]]
 name = "certifi"
-version = "2024.8.30"
+version = "2024.12.14"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
-    {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
+    {file = "certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"},
+    {file = "certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"},
 ]
 
 [[package]]
@@ -857,37 +872,37 @@ pyarrow = ">=15.0.0,<16.0.0"
 
 [[package]]
 name = "debugpy"
-version = "1.8.9"
+version = "1.8.11"
 description = "An implementation of the Debug Adapter Protocol for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "debugpy-1.8.9-cp310-cp310-win32.whl", hash = "sha256:c36856343cbaa448171cba62a721531e10e7ffb0abff838004701454149bc037"},
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 [[package]]
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 [[package]]
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 ipykernel = ">=6.5.0"
 jinja2 = ">=3.0.3"
 jupyter-core = "*"
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 [package.dependencies]
@@ -1981,11 +1997,11 @@ pyyaml = "*"
 tomli = {version = "*", markers = "python_version < \"3.11\""}
 
 [package.extras]
-dev = ["autopep8", "black", "flake8", "gitpython", "ipykernel", "isort", "jupyter-fs (>=1.0)", "jupyter-server (!=2.11)", "nbconvert", "pre-commit", "pytest", "pytest-cov (>=2.6.1)", "pytest-randomly", "pytest-xdist", "sphinx-gallery (<0.8)"]
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 test = ["pytest", "pytest-randomly", "pytest-xdist"]
 test-cov = ["ipykernel", "jupyter-server (!=2.11)", "nbconvert", "pytest", "pytest-cov (>=2.6.1)", "pytest-randomly", "pytest-xdist"]
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 test-functional = ["pytest", "pytest-randomly", "pytest-xdist"]
 test-integration = ["ipykernel", "jupyter-server (!=2.11)", "nbconvert", "pytest", "pytest-randomly", "pytest-xdist"]
 test-ui = ["calysto-bash"]
@@ -2304,52 +2320,45 @@ tests = ["pytest", "simplejson"]
 
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 name = "matplotlib"
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+version = "3.10.0"
 description = "Python plotting package"
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 ]
 
 [package.dependencies]
@@ -2364,7 +2373,7 @@ pyparsing = ">=2.3.1"
 python-dateutil = ">=2.7"
 
 [package.extras]
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+dev = ["meson-python (>=0.13.1,<0.17.0)", "pybind11 (>=2.13.2,!=2.13.3)", "setuptools (>=64)", "setuptools_scm (>=7)"]
 
 [[package]]
 name = "matplotlib-inline"
@@ -2513,13 +2522,13 @@ pygments = ">2.12.0"
 
 [[package]]
 name = "mkdocs-material"
-version = "9.5.48"
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 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
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+version = "1.57.4"
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+
 [[package]]
 name = "pytz"
 version = "2024.2"
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+    {file = "scikit_learn-1.6.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eba06d75815406091419e06dd650b91ebd1c5f836392a0d833ff36447c2b1bfa"},
+    {file = "scikit_learn-1.6.0-cp313-cp313t-win_amd64.whl", hash = "sha256:b6916d1cec1ff163c7d281e699d7a6a709da2f2c5ec7b10547e08cc788ddd3ae"},
+    {file = "scikit_learn-1.6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:66b1cf721a9f07f518eb545098226796c399c64abdcbf91c2b95d625068363da"},
+    {file = "scikit_learn-1.6.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:7b35b60cf4cd6564b636e4a40516b3c61a4fa7a8b1f7a3ce80c38ebe04750bc3"},
+    {file = "scikit_learn-1.6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a73b1c2038c93bc7f4bf21f6c9828d5116c5d2268f7a20cfbbd41d3074d52083"},
+    {file = "scikit_learn-1.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5c3fa7d3dd5a0ec2d0baba0d644916fa2ab180ee37850c5d536245df916946bd"},
+    {file = "scikit_learn-1.6.0-cp39-cp39-win_amd64.whl", hash = "sha256:df778486a32518cda33818b7e3ce48c78cef1d5f640a6bc9d97c6d2e71449a51"},
+    {file = "scikit_learn-1.6.0.tar.gz", hash = "sha256:9d58481f9f7499dff4196927aedd4285a0baec8caa3790efbe205f13de37dd6e"},
 ]
 
 [package.dependencies]
@@ -4473,11 +4494,11 @@ threadpoolctl = ">=3.1.0"
 [package.extras]
 benchmark = ["matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "pandas (>=1.1.5)"]
 build = ["cython (>=3.0.10)", "meson-python (>=0.16.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)"]
-docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pydata-sphinx-theme (>=0.15.3)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)", "sphinx (>=7.3.7)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.5.0)", "sphinx-design (>=0.6.0)", "sphinx-gallery (>=0.16.0)", "sphinx-prompt (>=1.4.0)", "sphinx-remove-toctrees (>=1.0.0.post1)", "sphinxcontrib-sass (>=0.3.4)", "sphinxext-opengraph (>=0.9.1)"]
+docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pydata-sphinx-theme (>=0.15.3)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)", "sphinx (>=7.3.7)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.5.0)", "sphinx-design (>=0.6.0)", "sphinx-gallery (>=0.17.1)", "sphinx-prompt (>=1.4.0)", "sphinx-remove-toctrees (>=1.0.0.post1)", "sphinxcontrib-sass (>=0.3.4)", "sphinxext-opengraph (>=0.9.1)", "towncrier (>=24.8.0)"]
 examples = ["matplotlib (>=3.3.4)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)"]
 install = ["joblib (>=1.2.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)", "threadpoolctl (>=3.1.0)"]
 maintenance = ["conda-lock (==2.5.6)"]
-tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.2.1)", "scikit-image (>=0.17.2)"]
+tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.5.1)", "scikit-image (>=0.17.2)"]
 
 [[package]]
 name = "scipy"
@@ -5262,4 +5283,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.13"
-content-hash = "35b7e6ca1c91915781f6e010d7c070a3a66f3071b8e241854b9b034f63c261e1"
+content-hash = "54d5f5d253d47c5c28c874c9aa56eaeba543fa3c27fed6143ae266b0a07ed391"
diff --git a/pyproject.toml b/pyproject.toml
index 1efc3ea8fd..7d27132548 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -81,8 +81,9 @@ devtools = "^0.12.2"
 typing-extensions = "^4.12.2"
 
 #Azure
-azure-storage-blob = "^12.24.0"
+azure-cosmos = "^4.9.0"
 azure-identity = "^1.19.0"
+azure-storage-blob = "^12.24.0"
 
 future = "^1.0.0" # Needed until graspologic fixes their dependency
 typer = "^0.15.1"
@@ -267,6 +268,7 @@ include = ["graphrag", "tests", "examples", "examples_notebooks"]
 exclude = ["**/node_modules", "**/__pycache__"]
 
 [tool.pytest.ini_options]
+asyncio_default_fixture_loop_scope = "function"
 asyncio_mode = "auto"
 timeout = 1000
 env_files = [".env"]
diff --git a/tests/conftest.py b/tests/conftest.py
index c6536014b8..17a8835feb 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,5 +1,7 @@
 # Copyright (c) 2024 Microsoft Corporation.
 # Licensed under the MIT License
+
+
 def pytest_addoption(parser):
     parser.addoption(
         "--run_slow", action="store_true", default=False, help="run slow tests"
diff --git a/tests/integration/storage/test_blob_pipeline_storage.py b/tests/integration/storage/test_blob_pipeline_storage.py
index af5b26e071..6883920136 100644
--- a/tests/integration/storage/test_blob_pipeline_storage.py
+++ b/tests/integration/storage/test_blob_pipeline_storage.py
@@ -44,7 +44,7 @@ async def test_find():
             output = await storage.get("test.txt")
             assert output is None
     finally:
-        storage.delete_container()
+        storage._delete_container()  # noqa: SLF001
 
 
 async def test_dotprefix():
@@ -59,7 +59,7 @@ async def test_dotprefix():
         items = [item[0] for item in items]
         assert items == ["input/christmas.txt"]
     finally:
-        storage.delete_container()
+        storage._delete_container()  # noqa: SLF001
 
 
 async def test_child():
@@ -93,4 +93,4 @@ async def test_child():
             has_test = await parent.has("input/test.txt")
             assert not has_test
     finally:
-        parent.delete_container()
+        parent._delete_container()  # noqa: SLF001
diff --git a/tests/integration/storage/test_cosmosdb_storage.py b/tests/integration/storage/test_cosmosdb_storage.py
new file mode 100644
index 0000000000..5b82e0d83e
--- /dev/null
+++ b/tests/integration/storage/test_cosmosdb_storage.py
@@ -0,0 +1,109 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+"""CosmosDB Storage Tests."""
+
+import json
+import re
+import sys
+
+import pytest
+
+from graphrag.storage.cosmosdb_pipeline_storage import CosmosDBPipelineStorage
+
+# cspell:disable-next-line well-known-key
+WELL_KNOWN_COSMOS_CONNECTION_STRING = "AccountEndpoint=https://127.0.0.1:8081/;AccountKey=C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw=="
+
+# the cosmosdb emulator is only available on windows runners at this time
+if not sys.platform.startswith("win"):
+    pytest.skip(
+        "encountered windows-only tests -- will skip for now", allow_module_level=True
+    )
+
+
+async def test_find():
+    storage = CosmosDBPipelineStorage(
+        connection_string=WELL_KNOWN_COSMOS_CONNECTION_STRING,
+        database_name="testfind",
+        container_name="testfindcontainer",
+    )
+    try:
+        try:
+            items = list(storage.find(file_pattern=re.compile(r".*\.json$")))
+            items = [item[0] for item in items]
+            assert items == []
+
+            json_content = {
+                "content": "Merry Christmas!",
+            }
+            await storage.set(
+                "christmas.json", json.dumps(json_content), encoding="utf-8"
+            )
+            items = list(storage.find(file_pattern=re.compile(r".*\.json$")))
+            items = [item[0] for item in items]
+            assert items == ["christmas.json"]
+
+            json_content = {
+                "content": "Hello, World!",
+            }
+            await storage.set("test.json", json.dumps(json_content), encoding="utf-8")
+            items = list(storage.find(file_pattern=re.compile(r".*\.json$")))
+            items = [item[0] for item in items]
+            assert items == ["christmas.json", "test.json"]
+
+            output = await storage.get("test.json")
+            output_json = json.loads(output)
+            assert output_json["content"] == "Hello, World!"
+
+            json_exists = await storage.has("christmas.json")
+            assert json_exists is True
+            json_exists = await storage.has("easter.json")
+            assert json_exists is False
+        finally:
+            await storage.delete("test.json")
+            output = await storage.get("test.json")
+            assert output is None
+    finally:
+        await storage.clear()
+
+
+async def test_child():
+    storage = CosmosDBPipelineStorage(
+        connection_string=WELL_KNOWN_COSMOS_CONNECTION_STRING,
+        database_name="testchild",
+        container_name="testchildcontainer",
+    )
+    try:
+        child_storage = storage.child("child")
+        assert type(child_storage) is CosmosDBPipelineStorage
+    finally:
+        await storage.clear()
+
+
+async def test_clear():
+    storage = CosmosDBPipelineStorage(
+        connection_string=WELL_KNOWN_COSMOS_CONNECTION_STRING,
+        database_name="testclear",
+        container_name="testclearcontainer",
+    )
+    try:
+        json_exists = {
+            "content": "Merry Christmas!",
+        }
+        await storage.set("christmas.json", json.dumps(json_exists), encoding="utf-8")
+        json_exists = {
+            "content": "Happy Easter!",
+        }
+        await storage.set("easter.json", json.dumps(json_exists), encoding="utf-8")
+        await storage.clear()
+
+        items = list(storage.find(file_pattern=re.compile(r".*\.json$")))
+        items = [item[0] for item in items]
+        assert items == []
+
+        output = await storage.get("easter.json")
+        assert output is None
+
+        assert storage._container_client is None  # noqa: SLF001
+        assert storage._database_client is None  # noqa: SLF001
+    finally:
+        await storage.clear()
diff --git a/tests/smoke/test_fixtures.py b/tests/smoke/test_fixtures.py
index 1f0c449753..af6a5cd96d 100644
--- a/tests/smoke/test_fixtures.py
+++ b/tests/smoke/test_fixtures.py
@@ -100,8 +100,8 @@ async def prepare_azurite_data(input_path: str, azure: dict) -> Callable[[], Non
         container_name=input_container,
     )
     # Bounce the container if it exists to clear out old run data
-    input_storage.delete_container()
-    input_storage.create_container()
+    input_storage._delete_container()  # noqa: SLF001
+    input_storage._create_container()  # noqa: SLF001
 
     # Upload data files
     txt_files = list((root / "input").glob("*.txt"))
@@ -116,7 +116,7 @@ async def prepare_azurite_data(input_path: str, azure: dict) -> Callable[[], Non
         )
         await input_storage.set(file_path, text, encoding="utf-8")
 
-    return lambda: input_storage.delete_container()
+    return lambda: input_storage._delete_container()  # noqa: SLF001
 
 
 class TestIndexer:
diff --git a/tests/unit/indexing/cache/test_file_pipeline_cache.py b/tests/unit/indexing/cache/test_file_pipeline_cache.py
index 045581ad49..d08bd6ebfc 100644
--- a/tests/unit/indexing/cache/test_file_pipeline_cache.py
+++ b/tests/unit/indexing/cache/test_file_pipeline_cache.py
@@ -13,7 +13,7 @@
 
 
 def create_cache():
-    storage = FilePipelineStorage(os.path.join(os.getcwd(), ".tmp"))
+    storage = FilePipelineStorage(root_dir=os.path.join(os.getcwd(), ".tmp"))
     return JsonPipelineCache(storage)
 
 
diff --git a/tests/verbs/test_extract_graph.py b/tests/verbs/test_extract_graph.py
index 9e4d0a4280..3ccc1d22b6 100644
--- a/tests/verbs/test_extract_graph.py
+++ b/tests/verbs/test_extract_graph.py
@@ -92,7 +92,7 @@ async def test_extract_graph():
     # we need to update the mocking to provide somewhat unique graphs so a true merge happens
     # the assertion should grab a node and ensure the description matches the mock description, not the original as we are doing below
 
-    assert nodes_actual["description"].values[0] == "Company_A is a test company"
+    assert nodes_actual["description"].to_numpy()[0] == "Company_A is a test company"
 
     assert len(context.storage.keys()) == 0, "Storage should be empty"