diff --git a/.libraries-whitelist.txt b/.libraries-whitelist.txt
index 5bd0d5a48..06516cf0c 100644
--- a/.libraries-whitelist.txt
+++ b/.libraries-whitelist.txt
@@ -1,2 +1,3 @@
 pkg_resources
-tiktoken
\ No newline at end of file
+tiktoken
+chardet
diff --git a/packages/ragbits-document-search/pyproject.toml b/packages/ragbits-document-search/pyproject.toml
index dc2802133..199f958b0 100644
--- a/packages/ragbits-document-search/pyproject.toml
+++ b/packages/ragbits-document-search/pyproject.toml
@@ -33,14 +33,17 @@ classifiers = [
 ]
 dependencies = [
     "numpy~=1.24.0",
-    "ragbits"
+    "ragbits",
+    "unstructured>=0.15.12",
 ]
 
-
 [project.optional-dependencies]
 chromadb = [
     "chromadb~=0.4.24",
 ]
+gcs = [
+    "gcloud-aio-storage~=9.3.0"
+]
 
 [tool.uv]
 dev-dependencies = [
diff --git a/packages/ragbits-document-search/src/ragbits/document_search/_main.py b/packages/ragbits-document-search/src/ragbits/document_search/_main.py
index e257a3935..0659dd40b 100644
--- a/packages/ragbits-document-search/src/ragbits/document_search/_main.py
+++ b/packages/ragbits-document-search/src/ragbits/document_search/_main.py
@@ -1,7 +1,8 @@
 from ragbits.core.embeddings.base import Embeddings
-from ragbits.document_search.documents.document import DocumentMeta
+from ragbits.document_search.documents.document import DocumentMeta, DocumentType
 from ragbits.document_search.documents.element import Element
 from ragbits.document_search.ingestion.document_processor import DocumentProcessor
+from ragbits.document_search.ingestion.providers.dummy import DummyProvider
 from ragbits.document_search.retrieval.rephrasers.base import QueryRephraser
 from ragbits.document_search.retrieval.rephrasers.noop import NoopQueryRephraser
 from ragbits.document_search.retrieval.rerankers.base import Reranker
@@ -70,7 +71,7 @@ async def ingest_document(self, document: DocumentMeta) -> None:
         """
         # TODO: This is a placeholder implementation. It should be replaced with a real implementation.
 
-        document_processor = DocumentProcessor()
+        document_processor = DocumentProcessor.from_config({DocumentType.TXT: DummyProvider()})
         elements = await document_processor.process(document)
         vectors = await self.embedder.embed_text([element.get_key() for element in elements])
         entries = [element.to_vector_db_entry(vector) for element, vector in zip(elements, vectors)]
diff --git a/packages/ragbits-document-search/src/ragbits/document_search/documents/document.py b/packages/ragbits-document-search/src/ragbits/document_search/documents/document.py
index 8469d8eb9..2ca2ec9a6 100644
--- a/packages/ragbits-document-search/src/ragbits/document_search/documents/document.py
+++ b/packages/ragbits-document-search/src/ragbits/document_search/documents/document.py
@@ -5,7 +5,7 @@
 
 from pydantic import BaseModel, Field
 
-from ragbits.document_search.documents.sources import LocalFileSource
+from ragbits.document_search.documents.sources import GCSSource, LocalFileSource
 
 
 class DocumentType(str, Enum):
@@ -13,6 +13,24 @@ class DocumentType(str, Enum):
 
     MD = "md"
     TXT = "txt"
+    PDF = "pdf"
+    CSV = "csv"
+    DOC = "doc"
+    DOCX = "docx"
+    HTML = "html"
+    EPUB = "epub"
+    XLSX = "xlsx"
+    XLS = "xls"
+    ORG = "org"
+    ODT = "odt"
+    PPT = "ppt"
+    PPTX = "pptx"
+    RST = "rst"
+    RTF = "rtf"
+    TSV = "tsv"
+    XML = "xml"
+
+    UNKNOWN = "unknown"
 
 
 class DocumentMeta(BaseModel):
@@ -21,7 +39,7 @@ class DocumentMeta(BaseModel):
     """
 
     document_type: DocumentType
-    source: Union[LocalFileSource] = Field(..., discriminator="source_type")
+    source: Union[LocalFileSource, GCSSource] = Field(..., discriminator="source_type")
 
     @property
     def id(self) -> str:
@@ -63,6 +81,22 @@ def create_text_document_from_literal(cls, content: str) -> "DocumentMeta":
             source=LocalFileSource(path=Path(temp_file.name)),
         )
 
+    @classmethod
+    def from_local_path(cls, local_path: Path) -> "DocumentMeta":
+        """
+        Create a document metadata from a local path.
+
+        Args:
+            local_path: The local path to the document.
+
+        Returns:
+            The document metadata.
+        """
+        return cls(
+            document_type=DocumentType(local_path.suffix[1:]),
+            source=LocalFileSource(path=local_path),
+        )
+
 
 class Document(BaseModel):
     """
diff --git a/packages/ragbits-document-search/src/ragbits/document_search/documents/element.py b/packages/ragbits-document-search/src/ragbits/document_search/documents/element.py
index 3c02daeb2..d521b7f70 100644
--- a/packages/ragbits-document-search/src/ragbits/document_search/documents/element.py
+++ b/packages/ragbits-document-search/src/ragbits/document_search/documents/element.py
@@ -13,7 +13,7 @@ class Element(BaseModel, ABC):
     """
 
     element_type: str
-    document: DocumentMeta
+    document_meta: DocumentMeta
 
     _elements_registry: ClassVar[dict[str, type["Element"]]] = {}
 
diff --git a/packages/ragbits-document-search/src/ragbits/document_search/documents/sources.py b/packages/ragbits-document-search/src/ragbits/document_search/documents/sources.py
index e1fc9a4ce..3c7240dee 100644
--- a/packages/ragbits-document-search/src/ragbits/document_search/documents/sources.py
+++ b/packages/ragbits-document-search/src/ragbits/document_search/documents/sources.py
@@ -1,9 +1,20 @@
+import os
+import tempfile
 from abc import ABC, abstractmethod
 from pathlib import Path
 from typing import Literal
 
 from pydantic import BaseModel
 
+try:
+    from gcloud.aio.storage import Storage
+
+    HAS_GCLOUD_AIO = True
+except ImportError:
+    HAS_GCLOUD_AIO = False
+
+LOCAL_STORAGE_DIR_ENV = "LOCAL_STORAGE_DIR_ENV"
+
 
 class Source(BaseModel, ABC):
     """
@@ -54,3 +65,59 @@ async def fetch(self) -> Path:
             The local path to the object fetched from the source.
         """
         return self.path
+
+
+class GCSSource(Source):
+    """
+    An object representing a GCS file source.
+    """
+
+    source_type: Literal["gcs"] = "gcs"
+
+    bucket: str
+    object_name: str
+
+    def get_id(self) -> str:
+        """
+        Get unique identifier of the object in the source.
+
+        Returns:
+            Unique identifier.
+        """
+        return f"gcs:gs://{self.bucket}/{self.object_name}"
+
+    async def fetch(self) -> Path:
+        """
+        Fetch the file from Google Cloud Storage and store it locally.
+
+        The file is downloaded to a local directory specified by `local_dir`. If the file already exists locally,
+        it will not be downloaded again. If the file doesn't exist locally, it will be fetched from GCS.
+        The local directory is determined by the environment variable `LOCAL_STORAGE_DIR_ENV`. If this environment
+        variable is not set, a temporary directory is used.
+
+        Returns:
+            Path: The local path to the downloaded file.
+
+        Raises:
+            ImportError: If the required 'gcloud' package is not installed for Google Cloud Storage source.
+        """
+
+        if not HAS_GCLOUD_AIO:
+            raise ImportError("You need to install the 'gcloud-aio-storage' package to use Google Cloud Storage")
+
+        if (local_dir_env := os.getenv(LOCAL_STORAGE_DIR_ENV)) is None:
+            local_dir = Path(tempfile.gettempdir())
+        else:
+            local_dir = Path(local_dir_env)
+
+        bucket_local_dir = local_dir / self.bucket
+        bucket_local_dir.mkdir(parents=True, exist_ok=True)
+        path = bucket_local_dir / self.object_name
+
+        if not path.is_file():
+            async with Storage() as client:
+                content = await client.download(self.bucket, self.object_name)
+                with open(path, mode="wb+") as file_object:
+                    file_object.write(content)
+
+        return path
diff --git a/packages/ragbits-document-search/src/ragbits/document_search/ingestion/document_processor.py b/packages/ragbits-document-search/src/ragbits/document_search/ingestion/document_processor.py
index f11b42771..9a4f8ae56 100644
--- a/packages/ragbits-document-search/src/ragbits/document_search/ingestion/document_processor.py
+++ b/packages/ragbits-document-search/src/ragbits/document_search/ingestion/document_processor.py
@@ -1,22 +1,68 @@
-"""
-TODO: This module is mocked. To be deleted and replaced with a real implementation.
-"""
+import copy
+from typing import Optional
 
-from typing import List
+from ragbits.document_search.documents.document import DocumentMeta, DocumentType
+from ragbits.document_search.documents.element import Element
+from ragbits.document_search.ingestion.providers.base import BaseProvider
+from ragbits.document_search.ingestion.providers.unstructured import UnstructuredProvider
 
-from ragbits.document_search.documents.document import DocumentMeta, TextDocument
-from ragbits.document_search.documents.element import Element, TextElement
+ProvidersConfig = dict[DocumentType, BaseProvider]
+
+DEFAULT_PROVIDERS_CONFIG: ProvidersConfig = {
+    DocumentType.TXT: UnstructuredProvider(),
+    DocumentType.MD: UnstructuredProvider(),
+    DocumentType.PDF: UnstructuredProvider(),
+    DocumentType.DOCX: UnstructuredProvider(),
+    DocumentType.DOC: UnstructuredProvider(),
+    DocumentType.PPTX: UnstructuredProvider(),
+    DocumentType.PPT: UnstructuredProvider(),
+    DocumentType.XLSX: UnstructuredProvider(),
+    DocumentType.XLS: UnstructuredProvider(),
+    DocumentType.CSV: UnstructuredProvider(),
+    DocumentType.HTML: UnstructuredProvider(),
+    DocumentType.EPUB: UnstructuredProvider(),
+    DocumentType.ORG: UnstructuredProvider(),
+    DocumentType.ODT: UnstructuredProvider(),
+    DocumentType.RST: UnstructuredProvider(),
+    DocumentType.RTF: UnstructuredProvider(),
+    DocumentType.TSV: UnstructuredProvider(),
+    DocumentType.XML: UnstructuredProvider(),
+}
 
 
 class DocumentProcessor:
     """
     A class with an implementation of Document Processor, allowing to process documents.
-
-    TODO: probably this one should be replaced with something more generic,
-          allowing for passing different processors for different document types.
     """
 
-    async def process(self, document_meta: DocumentMeta) -> List[Element]:
+    def __init__(self, providers: dict[DocumentType, BaseProvider]):
+        self._providers = providers
+
+    @classmethod
+    def from_config(cls, providers_config: Optional[ProvidersConfig] = None) -> "DocumentProcessor":
+        """
+        Create a DocumentProcessor from a configuration. If the configuration is not provided, the default configuration
+        will be used. If the configuration is provided, it will be merged with the default configuration, overriding
+        the default values for the document types that are defined in the configuration.
+        Example of the configuration:
+        {
+            DocumentType.TXT: YourCustomProviderClass(),
+            DocumentType.PDF: UnstructuredProvider(),
+        }
+
+        Args:
+            providers_config: The dictionary with the providers configuration, mapping the document types to the
+             provider class.
+
+        Returns:
+            The DocumentProcessor.
+        """
+        config = copy.deepcopy(DEFAULT_PROVIDERS_CONFIG)
+        config.update(providers_config if providers_config is not None else {})
+
+        return cls(providers=config)
+
+    async def process(self, document_meta: DocumentMeta) -> list[Element]:
         """
         Process the document.
 
@@ -24,12 +70,15 @@ async def process(self, document_meta: DocumentMeta) -> List[Element]:
             document_meta: The document to process.
 
         Returns:
-            The processed elements.
-        """
-        document = await document_meta.fetch()
+            The list of elements extracted from the document.
 
-        if isinstance(document, TextDocument):
-            # for now just return the whole document as a single element
-            return [TextElement(document=document_meta, content=document.content)]
+        Raises:
+            ValueError: If the provider for the document type is not defined in the configuration.
+        """
+        provider = self._providers.get(document_meta.document_type)
+        if provider is None:
+            raise ValueError(
+                f"Provider for {document_meta.document_type} is not defined in the configuration:" f" {self._providers}"
+            )
 
-        return []
+        return await provider.process(document_meta)
diff --git a/packages/ragbits-document-search/src/ragbits/document_search/ingestion/providers/__init__.py b/packages/ragbits-document-search/src/ragbits/document_search/ingestion/providers/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/packages/ragbits-document-search/src/ragbits/document_search/ingestion/providers/base.py b/packages/ragbits-document-search/src/ragbits/document_search/ingestion/providers/base.py
new file mode 100644
index 000000000..d046e7c70
--- /dev/null
+++ b/packages/ragbits-document-search/src/ragbits/document_search/ingestion/providers/base.py
@@ -0,0 +1,41 @@
+from abc import ABC, abstractmethod
+
+from ragbits.document_search.documents.document import DocumentMeta, DocumentType
+from ragbits.document_search.documents.element import Element
+
+
+class DocumentTypeNotSupportedError(Exception):
+    """Raised when the document type is not supported by the provider."""
+
+    def __init__(self, provider_name: str, document_type: DocumentType) -> None:
+        message = f"Document type {document_type} is not supported by the {provider_name}"
+        super().__init__(message)
+
+
+class BaseProvider(ABC):
+    """A base class for the document processing providers."""
+
+    SUPPORTED_DOCUMENT_TYPES: set[DocumentType]
+
+    @abstractmethod
+    async def process(self, document_meta: DocumentMeta) -> list[Element]:
+        """Process the document.
+
+        Args:
+            document_meta: The document to process.
+
+        Returns:
+            The list of elements extracted from the document.
+        """
+
+    def validate_document_type(self, document_type: DocumentType) -> None:
+        """Check if the provider supports the document type.
+
+        Args:
+            document_type: The document type.
+
+        Raises:
+            DocumentTypeNotSupportedError: If the document type is not supported.
+        """
+        if document_type not in self.SUPPORTED_DOCUMENT_TYPES:
+            raise DocumentTypeNotSupportedError(provider_name=self.__class__.__name__, document_type=document_type)
diff --git a/packages/ragbits-document-search/src/ragbits/document_search/ingestion/providers/dummy.py b/packages/ragbits-document-search/src/ragbits/document_search/ingestion/providers/dummy.py
new file mode 100644
index 000000000..712f31a09
--- /dev/null
+++ b/packages/ragbits-document-search/src/ragbits/document_search/ingestion/providers/dummy.py
@@ -0,0 +1,29 @@
+from ragbits.document_search.documents.document import DocumentMeta, DocumentType, TextDocument
+from ragbits.document_search.documents.element import Element, TextElement
+from ragbits.document_search.ingestion.providers.base import BaseProvider
+
+
+class DummyProvider(BaseProvider):
+    """This is a mock provider that returns a TextElement with the content of the document.
+    It should be used for testing purposes only.
+
+    TODO: Remove this provider after the implementation of the real providers.
+    """
+
+    SUPPORTED_DOCUMENT_TYPES = {DocumentType.TXT}
+
+    async def process(self, document_meta: DocumentMeta) -> list[Element]:
+        """Process the text document.
+
+        Args:
+            document_meta: The document to process.
+
+        Returns:
+            List with a single TextElement containing the content of the document.
+        """
+        self.validate_document_type(document_meta.document_type)
+
+        document = await document_meta.fetch()
+        if isinstance(document, TextDocument):
+            return [TextElement(content=document.content, document_meta=document_meta)]
+        return []
diff --git a/packages/ragbits-document-search/src/ragbits/document_search/ingestion/providers/unstructured.py b/packages/ragbits-document-search/src/ragbits/document_search/ingestion/providers/unstructured.py
new file mode 100644
index 000000000..037bed342
--- /dev/null
+++ b/packages/ragbits-document-search/src/ragbits/document_search/ingestion/providers/unstructured.py
@@ -0,0 +1,96 @@
+import os
+from io import BytesIO
+from typing import Optional
+
+from unstructured.documents.elements import Element as UnstructuredElement
+from unstructured.partition.api import partition_via_api
+
+from ragbits.document_search.documents.document import DocumentMeta, DocumentType
+from ragbits.document_search.documents.element import Element, TextElement
+from ragbits.document_search.ingestion.providers.base import BaseProvider
+
+DEFAULT_PARTITION_KWARGS: dict = {
+    "strategy": "hi_res",
+    "languages": ["eng"],
+    "split_pdf_page": True,
+    "split_pdf_allow_failed": True,
+    "split_pdf_concurrency_level": 15,
+}
+
+UNSTRUCTURED_API_KEY_ENV = "UNSTRUCTURED_API_KEY"
+UNSTRUCTURED_API_URL_ENV = "UNSTRUCTURED_API_URL"
+
+
+class UnstructuredProvider(BaseProvider):
+    """
+    A provider that uses the Unstructured API to process the documents.
+    """
+
+    SUPPORTED_DOCUMENT_TYPES = {
+        DocumentType.TXT,
+        DocumentType.MD,
+        DocumentType.PDF,
+        DocumentType.DOCX,
+        DocumentType.DOC,
+        DocumentType.PPTX,
+        DocumentType.PPT,
+        DocumentType.XLSX,
+        DocumentType.XLS,
+        DocumentType.CSV,
+        DocumentType.HTML,
+        DocumentType.EPUB,
+        DocumentType.ORG,
+        DocumentType.ODT,
+        DocumentType.RST,
+        DocumentType.RTF,
+        DocumentType.TSV,
+        DocumentType.XML,
+    }
+
+    def __init__(self, partition_kwargs: Optional[dict] = None):
+        """Initialize the UnstructuredProvider.
+
+        Args:
+            partition_kwargs: The additional arguments for the partitioning. Refer to the Unstructured API documentation
+                for the available options: https://docs.unstructured.io/api-reference/api-services/api-parameters
+        """
+        self.partition_kwargs = partition_kwargs or DEFAULT_PARTITION_KWARGS
+
+    async def process(self, document_meta: DocumentMeta) -> list[Element]:
+        """Process the document using the Unstructured API.
+
+        Args:
+            document_meta: The document to process.
+
+        Returns:
+            The list of elements extracted from the document.
+
+        Raises:
+            ValueError: If the UNSTRUCTURED_API_KEY or UNSTRUCTURED_API_URL environment variables are not set.
+            DocumentTypeNotSupportedError: If the document type is not supported.
+
+        """
+        self.validate_document_type(document_meta.document_type)
+        if (api_key := os.getenv(UNSTRUCTURED_API_KEY_ENV)) is None:
+            raise ValueError(f"{UNSTRUCTURED_API_KEY_ENV} environment variable is not set")
+        if (api_url := os.getenv(UNSTRUCTURED_API_URL_ENV)) is None:
+            raise ValueError(f"{UNSTRUCTURED_API_URL_ENV} environment variable is not set")
+
+        document = await document_meta.fetch()
+
+        # TODO: Currently this is a blocking call. It should be made async.
+        elements = partition_via_api(
+            file=BytesIO(document.local_path.read_bytes()),
+            metadata_filename=document.local_path.name,
+            api_key=api_key,
+            api_url=api_url,
+            **self.partition_kwargs,
+        )
+        return [_to_text_element(element, document_meta) for element in elements]
+
+
+def _to_text_element(element: UnstructuredElement, document_meta: DocumentMeta) -> TextElement:
+    return TextElement(
+        document_meta=document_meta,
+        content=element.text,
+    )
diff --git a/packages/ragbits-document-search/tests/helpers.py b/packages/ragbits-document-search/tests/helpers.py
new file mode 100644
index 000000000..4ed552e5f
--- /dev/null
+++ b/packages/ragbits-document-search/tests/helpers.py
@@ -0,0 +1,5 @@
+import os
+
+
+def env_vars_not_set(env_vars: list[str]) -> bool:
+    return all([os.environ.get(env_var) is None for env_var in env_vars])
diff --git a/packages/ragbits-document-search/tests/integration/__init__.py b/packages/ragbits-document-search/tests/integration/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/packages/ragbits-document-search/tests/integration/test_unstructured.py b/packages/ragbits-document-search/tests/integration/test_unstructured.py
new file mode 100644
index 000000000..a48c1f49b
--- /dev/null
+++ b/packages/ragbits-document-search/tests/integration/test_unstructured.py
@@ -0,0 +1,72 @@
+from pathlib import Path
+
+import pytest
+
+from ragbits.document_search.documents.document import DocumentMeta, DocumentType
+from ragbits.document_search.ingestion.document_processor import DocumentProcessor
+from ragbits.document_search.ingestion.providers.unstructured import (
+    DEFAULT_PARTITION_KWARGS,
+    UNSTRUCTURED_API_KEY_ENV,
+    UNSTRUCTURED_API_URL_ENV,
+    UnstructuredProvider,
+)
+
+from ..helpers import env_vars_not_set
+
+
+@pytest.mark.skipif(
+    env_vars_not_set([UNSTRUCTURED_API_URL_ENV, UNSTRUCTURED_API_KEY_ENV]),
+    reason="Unstructured API environment variables not set",
+)
+async def test_document_processor_processes_text_document_with_unstructured_provider():
+    document_processor = DocumentProcessor.from_config()
+    document_meta = DocumentMeta.create_text_document_from_literal("Name of Peppa's brother is George.")
+
+    elements = await document_processor.process(document_meta)
+
+    assert isinstance(document_processor._providers[DocumentType.TXT], UnstructuredProvider)
+    assert len(elements) == 1
+    assert elements[0].content == "Name of Peppa's brother is George"
+
+
+@pytest.mark.skipif(
+    env_vars_not_set([UNSTRUCTURED_API_URL_ENV, UNSTRUCTURED_API_KEY_ENV]),
+    reason="Unstructured API environment variables not set",
+)
+async def test_document_processor_processes_md_document_with_unstructured_provider():
+    document_processor = DocumentProcessor.from_config()
+    document_meta = DocumentMeta.from_local_path(Path(__file__).parent.parent.parent.parent.parent / "README.md")
+
+    elements = await document_processor.process(document_meta)
+
+    assert len(elements) > 0
+    assert elements[0].content == "Ragbits"
+
+
+@pytest.mark.skipif(
+    env_vars_not_set([UNSTRUCTURED_API_URL_ENV, UNSTRUCTURED_API_KEY_ENV]),
+    reason="Unstructured API environment variables not set",
+)
+async def test_unstructured_provider_document_with_default_partition_kwargs():
+    document_meta = DocumentMeta.create_text_document_from_literal("Name of Peppa's brother is George.")
+    unstructured_provider = UnstructuredProvider()
+    elements = await unstructured_provider.process(document_meta)
+
+    assert unstructured_provider.partition_kwargs == DEFAULT_PARTITION_KWARGS
+    assert len(elements) == 1
+    assert elements[0].content == "Name of Peppa's brother is George."
+
+
+@pytest.mark.skipif(
+    env_vars_not_set([UNSTRUCTURED_API_URL_ENV, UNSTRUCTURED_API_KEY_ENV]),
+    reason="Unstructured API environment variables not set",
+)
+async def test_unstructured_provider_document_with_custom_partition_kwargs():
+    document_meta = DocumentMeta.create_text_document_from_literal("Name of Peppa's brother is George.")
+    partition_kwargs = {"languages": ["pl"], "strategy": "fast"}
+    unstructured_provider = UnstructuredProvider(partition_kwargs=partition_kwargs)
+    elements = await unstructured_provider.process(document_meta)
+
+    assert unstructured_provider.partition_kwargs == partition_kwargs
+    assert len(elements) == 1
+    assert elements[0].content == "Name of Peppa's brother is George."
diff --git a/packages/ragbits-document-search/tests/unit/test_document_processor.py b/packages/ragbits-document-search/tests/unit/test_document_processor.py
new file mode 100644
index 000000000..f329e8b39
--- /dev/null
+++ b/packages/ragbits-document-search/tests/unit/test_document_processor.py
@@ -0,0 +1,15 @@
+from ragbits.document_search.documents.document import DocumentMeta, DocumentType
+from ragbits.document_search.ingestion.document_processor import DocumentProcessor
+from ragbits.document_search.ingestion.providers.dummy import DummyProvider
+
+
+async def test_document_processor_processes_text_document_with_dummy_provider():
+    providers_config = {DocumentType.TXT: DummyProvider()}
+    document_processor = DocumentProcessor.from_config(providers_config)
+    document_meta = DocumentMeta.create_text_document_from_literal("Name of Peppa's brother is George")
+
+    elements = await document_processor.process(document_meta)
+
+    assert isinstance(document_processor._providers[DocumentType.TXT], DummyProvider)
+    assert len(elements) == 1
+    assert elements[0].content == "Name of Peppa's brother is George"
diff --git a/packages/ragbits-document-search/tests/unit/test_elements.py b/packages/ragbits-document-search/tests/unit/test_elements.py
index 44ddb1838..bb213ca7d 100644
--- a/packages/ragbits-document-search/tests/unit/test_elements.py
+++ b/packages/ragbits-document-search/tests/unit/test_elements.py
@@ -18,7 +18,10 @@ def get_key(self) -> str:
             metadata={
                 "element_type": "custom_element",
                 "foo": "bar",
-                "document": {"document_type": "txt", "source": {"source_type": "local_file", "path": "/example/path"}},
+                "document_meta": {
+                    "document_type": "txt",
+                    "source": {"source_type": "local_file", "path": "/example/path"},
+                },
             },
         )
     )
@@ -26,5 +29,5 @@ def get_key(self) -> str:
     assert isinstance(element, MyElement)
     assert element.foo == "bar"
     assert element.get_key() == "barbar"
-    assert element.document.document_type == DocumentType.TXT
-    assert element.document.source.source_type == "local_file"
+    assert element.document_meta.document_type == DocumentType.TXT
+    assert element.document_meta.source.source_type == "local_file"
diff --git a/packages/ragbits-document-search/tests/unit/test_gcs_source.py b/packages/ragbits-document-search/tests/unit/test_gcs_source.py
new file mode 100644
index 000000000..df390361f
--- /dev/null
+++ b/packages/ragbits-document-search/tests/unit/test_gcs_source.py
@@ -0,0 +1,22 @@
+import os
+from pathlib import Path
+
+import aiohttp
+import pytest
+
+from ragbits.document_search.documents.sources import GCSSource
+
+TEST_FILE_PATH = Path(__file__)
+
+os.environ["LOCAL_STORAGE_DIR_ENV"] = TEST_FILE_PATH.parent.as_posix()
+
+
+async def test_gcs_source_fetch():
+    source = GCSSource(bucket="", object_name="test_gcs_source.py")
+
+    path = await source.fetch()
+    assert path == TEST_FILE_PATH
+
+    source = GCSSource(bucket="", object_name="not_found_file.py")
+    with pytest.raises(aiohttp.ClientConnectorError):
+        await source.fetch()
diff --git a/packages/ragbits-document-search/tests/unit/test_providers.py b/packages/ragbits-document-search/tests/unit/test_providers.py
new file mode 100644
index 000000000..5bde8e526
--- /dev/null
+++ b/packages/ragbits-document-search/tests/unit/test_providers.py
@@ -0,0 +1,43 @@
+import pytest
+from dotenv import load_dotenv
+
+from ragbits.document_search.documents.document import DocumentMeta, DocumentType
+from ragbits.document_search.ingestion.providers.base import DocumentTypeNotSupportedError
+from ragbits.document_search.ingestion.providers.unstructured import (
+    UNSTRUCTURED_API_KEY_ENV,
+    UNSTRUCTURED_API_URL_ENV,
+    UnstructuredProvider,
+)
+
+load_dotenv()
+
+
+@pytest.mark.parametrize("document_type", UnstructuredProvider.SUPPORTED_DOCUMENT_TYPES)
+def test_unsupported_provider_validates_supported_document_types_passes(document_type: DocumentType):
+    UnstructuredProvider().validate_document_type(document_type)
+
+
+def test_unsupported_provider_validates_supported_document_types_fails():
+    with pytest.raises(DocumentTypeNotSupportedError) as err:
+        UnstructuredProvider().validate_document_type(DocumentType.UNKNOWN)
+
+    assert "Document type unknown is not supported by the UnstructuredProvider" in str(err.value)
+
+
+async def test_unstructured_provider_raises_value_error_when_api_key_not_set():
+    with pytest.raises(ValueError) as err:
+        await UnstructuredProvider().process(
+            DocumentMeta.create_text_document_from_literal("Name of Peppa's brother is George.")
+        )
+
+    assert f"{UNSTRUCTURED_API_KEY_ENV} environment variable is not set" in str(err.value)
+
+
+async def test_unstructured_provider_raises_value_error_when_api_url_not_set(monkeypatch: pytest.MonkeyPatch):
+    monkeypatch.setenv(UNSTRUCTURED_API_KEY_ENV, "dummy_key")
+    with pytest.raises(ValueError) as err:
+        await UnstructuredProvider().process(
+            DocumentMeta.create_text_document_from_literal("Name of Peppa's brother is George.")
+        )
+
+    assert f"{UNSTRUCTURED_API_URL_ENV} environment variable is not set" in str(err.value)
diff --git a/packages/ragbits-document-search/tests/unit/test_simple_vector_store.py b/packages/ragbits-document-search/tests/unit/test_simple_vector_store.py
index bad254036..4c47bc962 100644
--- a/packages/ragbits-document-search/tests/unit/test_simple_vector_store.py
+++ b/packages/ragbits-document-search/tests/unit/test_simple_vector_store.py
@@ -9,10 +9,10 @@
 async def test_simple_vector_store():
     store = InMemoryVectorStore()
 
-    document = DocumentMeta(document_type=DocumentType.TXT, source=LocalFileSource(path=Path("test.txt")))
+    document_meta = DocumentMeta(document_type=DocumentType.TXT, source=LocalFileSource(path=Path("test.txt")))
     elements = [
-        (TextElement(content="dog", document=document), [0.5, 0.5]),
-        (TextElement(content="cat", document=document), [0.6, 0.6]),
+        (TextElement(content="dog", document_meta=document_meta), [0.5, 0.5]),
+        (TextElement(content="cat", document_meta=document_meta), [0.6, 0.6]),
     ]
 
     entries = [element[0].to_vector_db_entry(vector=element[1]) for element in elements]
diff --git a/pyproject.toml b/pyproject.toml
index 41edb6525..e26809844 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -7,10 +7,11 @@ requires-python = ">=3.10"
 dependencies = [
     "ragbits[litellm,local]",
     "ragbits-dev-kit",
-    "ragbits-document-search[chromadb]",
+    "ragbits-document-search[chromadb,gcs]",
     "ragbits-cli"
 ]
 
+
 [tool.uv]
 dev-dependencies = [
     "pre-commit~=3.8.0",
diff --git a/uv.lock b/uv.lock
index c50473075..e28c2360d 100644
--- a/uv.lock
+++ b/uv.lock
@@ -218,6 +218,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/ca/46/03eb26ea3e9c12ca18d1f3bf06199f7d72ce52e68f2a1ebcfd8acff9c472/bcrypt-4.2.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f4f4acf526fcd1c34e7ce851147deedd4e26e6402369304220250598b26448db", size = 272242 },
 ]
 
+[[package]]
+name = "beautifulsoup4"
+version = "4.12.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "soupsieve" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/b3/ca/824b1195773ce6166d388573fc106ce56d4a805bd7427b624e063596ec58/beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051", size = 581181 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b1/fe/e8c672695b37eecc5cbf43e1d0638d88d66ba3a44c4d321c796f4e59167f/beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed", size = 147925 },
+]
+
 [[package]]
 name = "build"
 version = "1.2.2"
@@ -252,6 +264,63 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/12/90/3c9ff0512038035f59d279fddeb79f5f1eccd8859f06d6163c58798b9487/certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8", size = 167321 },
 ]
 
+[[package]]
+name = "cffi"
+version = "1.17.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pycparser" },
+]
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+wheels = [
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+    { url = "https://files.pythonhosted.org/packages/08/fd/cc2fedbd887223f9f5d170c96e57cbf655df9831a6546c1727ae13fa977a/cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67", size = 178592 },
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@@ -2464,12 +2926,16 @@ source = { editable = "packages/ragbits-document-search" }
 dependencies = [
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 [package.optional-dependencies]
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