diff --git a/haystack/components/retrievers/__init__.py b/haystack/components/retrievers/__init__.py
index 0eb2227822..92404414e5 100644
--- a/haystack/components/retrievers/__init__.py
+++ b/haystack/components/retrievers/__init__.py
@@ -11,6 +11,7 @@
     "auto_merging_retriever": ["AutoMergingRetriever"],
     "filter_retriever": ["FilterRetriever"],
     "in_memory": ["InMemoryBM25Retriever", "InMemoryEmbeddingRetriever"],
+    "multi_filter_retriever": ["MultiFilterRetriever"],
     "multi_query_embedding_retriever": ["MultiQueryEmbeddingRetriever"],
     "multi_query_text_retriever": ["MultiQueryTextRetriever"],
     "sentence_window_retriever": ["SentenceWindowRetriever"],
@@ -21,6 +22,7 @@
     from .filter_retriever import FilterRetriever as FilterRetriever
     from .in_memory import InMemoryBM25Retriever as InMemoryBM25Retriever
     from .in_memory import InMemoryEmbeddingRetriever as InMemoryEmbeddingRetriever
+    from .multi_filter_retriever import MultiFilterRetriever as MultiFilterRetriever
     from .multi_query_embedding_retriever import MultiQueryEmbeddingRetriever as MultiQueryEmbeddingRetriever
     from .multi_query_text_retriever import MultiQueryTextRetriever as MultiQueryTextRetriever
     from .sentence_window_retriever import SentenceWindowRetriever as SentenceWindowRetriever
diff --git a/haystack/components/retrievers/multi_filter_retriever.py b/haystack/components/retrievers/multi_filter_retriever.py
new file mode 100644
index 0000000000..167e28d900
--- /dev/null
+++ b/haystack/components/retrievers/multi_filter_retriever.py
@@ -0,0 +1,99 @@
+# SPDX-FileCopyrightText: 2022-present deepset GmbH <info@deepset.ai>
+#
+# SPDX-License-Identifier: Apache-2.0
+
+from concurrent.futures import ThreadPoolExecutor
+from typing import Any
+
+from haystack import Document, component
+from haystack.components.retrievers.filter_retriever import FilterRetriever
+from haystack.utils.misc import _deduplicate_documents
+
+
+@component
+class MultiFilterRetriever:
+    """
+    A component that retrieves documents using multiple filters in parallel.
+
+    This component takes a list of filter dictionaries and uses a filter-capable retriever to retrieve matching
+    documents for each filter set in parallel.
+
+    ### Usage example
+
+    ```python
+    from haystack import Document
+    from haystack.components.retrievers import FilterRetriever, MultiFilterRetriever
+    from haystack.document_stores.in_memory import InMemoryDocumentStore
+    from haystack.components.writers import DocumentWriter
+    from haystack.document_stores.types import DuplicatePolicy
+
+    documents = [
+        Document(content="Python is a popular programming language", meta={"lang": "en"}),
+        Document(content="python ist eine beliebte Programmiersprache", meta={"lang": "de"}),
+    ]
+
+    document_store = InMemoryDocumentStore()
+    writer = DocumentWriter(document_store=document_store, policy=DuplicatePolicy.SKIP)
+    writer.run(documents=documents)
+
+    filter_retriever = FilterRetriever(document_store=document_store)
+    multi_filter_retriever = MultiFilterRetriever(retriever=filter_retriever)
+
+    filters = [
+        {"field": "meta.lang", "operator": "==", "value": "en"},
+        {"field": "meta.lang", "operator": "==", "value": "de"},
+    ]
+
+    result = multi_filter_retriever.run(filters=filters)
+    for doc in result["documents"]:
+        print(doc.content)
+    ```
+    """
+
+    def __init__(self, *, retriever: FilterRetriever, max_workers: int = 3) -> None:
+        """
+        Initialize MultiFilterRetriever.
+
+        :param retriever: The filter-capable retriever to use for document retrieval.
+        :param max_workers: Maximum number of worker threads for parallel processing.
+        """
+        self.retriever = retriever
+        self.max_workers = max_workers
+
+    @component.output_types(documents=list[Document])
+    def run(self, filters: list[dict[str, Any]]) -> dict[str, list[Document]]:
+        """
+        Retrieve documents using multiple filters in parallel.
+
+        :param filters: List of filter dictionaries to process.
+        :param retriever_kwargs: Optional dictionary of arguments to pass to the retriever's run method.
+        :returns:
+            A dictionary containing:
+                - `documents`: List of retrieved documents.
+        """
+        docs: list[Document] = []
+
+        with ThreadPoolExecutor(max_workers=self.max_workers) as executor:
+            filters_results = executor.map(self._run_on_thread, filters)
+            for result in filters_results:
+                if not result:
+                    continue
+                docs.extend(result)
+
+        docs = _deduplicate_documents(docs)
+
+        return {"documents": docs}
+
+    def _run_on_thread(self, filters: dict[str, Any]) -> list[Document] | None:
+        """
+        Process a single filter set on a separate thread.
+
+        :param filters: The filter dictionary to process.
+        :param retriever_kwargs: Optional dictionary of arguments to pass to the retriever's run method.
+        :returns:
+            List of retrieved documents or None if no results.
+        """
+        result = self.retriever.run(filters=filters)
+        if result and "documents" in result:
+            return result["documents"]
+        return None
diff --git a/releasenotes/notes/feat-multi-filter-retriever-266283c61e693da3.yaml b/releasenotes/notes/feat-multi-filter-retriever-266283c61e693da3.yaml
new file mode 100644
index 0000000000..12ab0c2521
--- /dev/null
+++ b/releasenotes/notes/feat-multi-filter-retriever-266283c61e693da3.yaml
@@ -0,0 +1,20 @@
+---
+features:
+  - |
+    Add support for ``MultiFilterRetriever``, a new retriever component that executes multiple filter
+    queries against a document store **in parallel** and returns a single, de-duplicated list of
+    documents.
+
+    .. code-block:: python
+
+        filter_retriever = FilterRetriever(document_store=document_store)
+        multi_filter_retriever = MultiFilterRetriever(retriever=filter_retriever)
+
+        filters = [
+            {"field": "meta.lang", "operator": "==", "value": "en"},
+            {"field": "meta.lang", "operator": "==", "value": "de"},
+        ]
+
+        result = multi_filter_retriever.run(filters=filters)
+        for doc in result["documents"]:
+            print(doc.content)
diff --git a/test/components/retrievers/test_multi_filter_retriever.py b/test/components/retrievers/test_multi_filter_retriever.py
new file mode 100644
index 0000000000..dc43290c2f
--- /dev/null
+++ b/test/components/retrievers/test_multi_filter_retriever.py
@@ -0,0 +1,117 @@
+# SPDX-FileCopyrightText: 2022-present deepset GmbH <info@deepset.ai>
+#
+# SPDX-License-Identifier: Apache-2.0
+
+from typing import Any
+
+import pytest
+
+from haystack import Document, component
+from haystack.components.retrievers.filter_retriever import FilterRetriever
+from haystack.components.retrievers.multi_filter_retriever import MultiFilterRetriever
+from haystack.components.writers import DocumentWriter
+from haystack.core.serialization import component_from_dict, component_to_dict
+from haystack.document_stores.in_memory import InMemoryDocumentStore
+from haystack.document_stores.types import DuplicatePolicy
+
+
+@pytest.fixture
+def sample_documents() -> list[Document]:
+    return [
+        Document(content="English text", id="doc1", meta={"lang": "en"}),
+        Document(content="German text", id="doc2", meta={"lang": "de"}),
+    ]
+
+
+@pytest.fixture
+def sample_document_store(sample_documents: list[Document]) -> InMemoryDocumentStore:
+    document_store = InMemoryDocumentStore()
+    DocumentWriter(document_store=document_store, policy=DuplicatePolicy.SKIP).run(documents=sample_documents)
+    return document_store
+
+
+@pytest.fixture
+def sample_filters() -> list[dict[str, Any]]:
+    return [
+        {"field": "meta.lang", "operator": "==", "value": "en"},
+        {"field": "meta.lang", "operator": "==", "value": "de"},
+    ]
+
+
+class TestMultiFilterRetriever:
+    def test_init_default(self, in_memory_doc_store: InMemoryDocumentStore) -> None:
+        retriever = FilterRetriever(document_store=in_memory_doc_store)
+        multi = MultiFilterRetriever(retriever=retriever)
+
+        assert multi.retriever == retriever
+        assert multi.max_workers == 3
+
+    def test_init_with_parameters(self, in_memory_doc_store: InMemoryDocumentStore) -> None:
+        retriever = FilterRetriever(document_store=in_memory_doc_store)
+        multi = MultiFilterRetriever(retriever=retriever, max_workers=2)
+
+        assert multi.max_workers == 2
+
+    def test_run_empty_filters(self, in_memory_doc_store: InMemoryDocumentStore) -> None:
+        multi = MultiFilterRetriever(retriever=FilterRetriever(document_store=in_memory_doc_store))
+
+        result = multi.run(filters=[])
+
+        assert result == {"documents": []}
+
+    def test_run_multiple_filters(
+        self, sample_document_store: InMemoryDocumentStore, sample_filters: list[dict[str, Any]]
+    ) -> None:
+        multi = MultiFilterRetriever(retriever=FilterRetriever(document_store=sample_document_store))
+
+        result = multi.run(filters=sample_filters)
+
+        assert "documents" in result
+        assert len(result["documents"]) == 2
+        assert {doc.meta["lang"] for doc in result["documents"]} == {"en", "de"}
+
+    def test_run_single_filter(self, sample_document_store: InMemoryDocumentStore) -> None:
+        multi = MultiFilterRetriever(retriever=FilterRetriever(document_store=sample_document_store))
+
+        result = multi.run(filters=[{"field": "meta.lang", "operator": "==", "value": "en"}])
+
+        assert "documents" in result
+        assert len(result["documents"]) == 1
+        assert result["documents"][0].meta["lang"] == "en"
+
+    def test_deduplication(self) -> None:
+        doc1 = Document(content="A", id="doc1", score=0.9)
+        doc2 = Document(content="B", id="doc2", score=0.8)
+        doc3 = Document(content="A", id="doc1", score=0.7)
+
+        @component
+        class MockRetriever:
+            @component.output_types(documents=list[Document])
+            def run(self, filters: dict[str, Any] | None = None, **kwargs: Any) -> dict[str, list[Document]]:
+                return {"documents": [doc1, doc2, doc3]}
+
+        multi = MultiFilterRetriever(retriever=MockRetriever(), max_workers=1)
+
+        result = multi.run(filters=[{}, {}])
+
+        assert len(result["documents"]) == 2
+        assert {doc.id for doc in result["documents"]} == {"doc1", "doc2"}
+
+    def test_to_dict(self, in_memory_doc_store: InMemoryDocumentStore) -> None:
+        retriever = FilterRetriever(document_store=in_memory_doc_store)
+        multi = MultiFilterRetriever(retriever=retriever, max_workers=2)
+
+        data = component_to_dict(multi, "multi_filter")
+
+        assert data["type"] == "haystack.components.retrievers.multi_filter_retriever.MultiFilterRetriever"
+        assert data["init_parameters"]["max_workers"] == 2
+
+    def test_from_dict(self, in_memory_doc_store: InMemoryDocumentStore) -> None:
+        retriever = FilterRetriever(document_store=in_memory_doc_store)
+        multi = MultiFilterRetriever(retriever=retriever, max_workers=2)
+
+        serialized = component_to_dict(multi, "multi_filter")
+        deserialized = component_from_dict(MultiFilterRetriever, serialized, "multi_filter")
+
+        assert isinstance(deserialized, MultiFilterRetriever)
+        assert deserialized.max_workers == 2