diff --git a/integrations/fastembed/src/haystack_integrations/components/embedders/fastembed/fastembed_document_embedder.py b/integrations/fastembed/src/haystack_integrations/components/embedders/fastembed/fastembed_document_embedder.py
index b1e9309c2..03dc301b9 100644
--- a/integrations/fastembed/src/haystack_integrations/components/embedders/fastembed/fastembed_document_embedder.py
+++ b/integrations/fastembed/src/haystack_integrations/components/embedders/fastembed/fastembed_document_embedder.py
@@ -53,6 +53,8 @@ class FastembedDocumentEmbedder:
     def __init__(
         self,
         model: str = "BAAI/bge-small-en-v1.5",
+        prefix: str = "",
+        suffix: str = "",
         batch_size: int = 256,
         progress_bar: bool = True,
         meta_fields_to_embed: Optional[List[str]] = None,
@@ -63,6 +65,8 @@ def __init__(
 
         :param model: Local path or name of the model in Hugging Face's model hub,
             such as ``'BAAI/bge-small-en-v1.5'``.
+        :param prefix: A string to add to the beginning of each text.
+        :param suffix: A string to add to the end of each text.
         :param batch_size: Number of strings to encode at once.
         :param progress_bar: If true, displays progress bar during embedding.
         :param meta_fields_to_embed: List of meta fields that should be embedded along with the Document content.
@@ -70,6 +74,8 @@ def __init__(
         """
 
         self.model_name = model
+        self.prefix = prefix
+        self.suffix = suffix
         self.batch_size = batch_size
         self.progress_bar = progress_bar
         self.meta_fields_to_embed = meta_fields_to_embed or []
@@ -82,6 +88,8 @@ def to_dict(self) -> Dict[str, Any]:
         return default_to_dict(
             self,
             model=self.model_name,
+            prefix=self.prefix,
+            suffix=self.suffix,
             batch_size=self.batch_size,
             progress_bar=self.progress_bar,
             meta_fields_to_embed=self.meta_fields_to_embed,
@@ -95,6 +103,19 @@ def warm_up(self):
         if not hasattr(self, "embedding_backend"):
             self.embedding_backend = _FastembedEmbeddingBackendFactory.get_embedding_backend(model_name=self.model_name)
 
+    def _prepare_texts_to_embed(self, documents: List[Document]) -> List[str]:
+        texts_to_embed = []
+        for doc in documents:
+            meta_values_to_embed = [
+                str(doc.meta[key]) for key in self.meta_fields_to_embed if key in doc.meta and doc.meta[key] is not None
+            ]
+            text_to_embed = [
+                self.prefix + self.embedding_separator.join([*meta_values_to_embed, doc.content or ""]) + self.suffix,
+            ]
+
+            texts_to_embed.append(text_to_embed[0])
+        return texts_to_embed
+
     @component.output_types(documents=List[Document])
     def run(self, documents: List[Document]):
         """
@@ -113,16 +134,7 @@ def run(self, documents: List[Document]):
 
         # TODO: once non textual Documents are properly supported, we should also prepare them for embedding here
 
-        texts_to_embed = []
-        for doc in documents:
-            meta_values_to_embed = [
-                str(doc.meta[key]) for key in self.meta_fields_to_embed if key in doc.meta and doc.meta[key] is not None
-            ]
-            text_to_embed = [
-                self.embedding_separator.join([*meta_values_to_embed, doc.content or ""]),
-            ]
-
-            texts_to_embed.append(text_to_embed[0])
+        texts_to_embed = self._prepare_texts_to_embed(documents=documents)
         embeddings = self.embedding_backend.embed(
             texts_to_embed,
             batch_size=self.batch_size,
diff --git a/integrations/fastembed/src/haystack_integrations/components/embedders/fastembed/fastembed_text_embedder.py b/integrations/fastembed/src/haystack_integrations/components/embedders/fastembed/fastembed_text_embedder.py
index 3446f80d7..455a1f94b 100644
--- a/integrations/fastembed/src/haystack_integrations/components/embedders/fastembed/fastembed_text_embedder.py
+++ b/integrations/fastembed/src/haystack_integrations/components/embedders/fastembed/fastembed_text_embedder.py
@@ -31,6 +31,8 @@ class FastembedTextEmbedder:
     def __init__(
         self,
         model: str = "BAAI/bge-small-en-v1.5",
+        prefix: str = "",
+        suffix: str = "",
         batch_size: int = 256,
         progress_bar: bool = True,
     ):
@@ -40,11 +42,15 @@ def __init__(
         :param model: Local path or name of the model in Fastembed's model hub,
             such as ``'BAAI/bge-small-en-v1.5'``.
         :param batch_size: Number of strings to encode at once.
+        :param prefix: A string to add to the beginning of each text.
+        :param suffix: A string to add to the end of each text.
         """
 
         # TODO add parallel
 
         self.model_name = model
+        self.prefix = prefix
+        self.suffix = suffix
         self.batch_size = batch_size
         self.progress_bar = progress_bar
 
@@ -55,6 +61,8 @@ def to_dict(self) -> Dict[str, Any]:
         return default_to_dict(
             self,
             model=self.model_name,
+            prefix=self.prefix,
+            suffix=self.suffix,
             batch_size=self.batch_size,
             progress_bar=self.progress_bar,
         )
@@ -79,7 +87,7 @@ def run(self, text: str):
             msg = "The embedding model has not been loaded. Please call warm_up() before running."
             raise RuntimeError(msg)
 
-        text_to_embed = [text]
+        text_to_embed = [self.prefix + text + self.suffix]
         embedding = list(
             self.embedding_backend.embed(
                 text_to_embed,
diff --git a/integrations/fastembed/tests/test_fastembed_document_embedder.py b/integrations/fastembed/tests/test_fastembed_document_embedder.py
index be182183c..6dd1b6e52 100644
--- a/integrations/fastembed/tests/test_fastembed_document_embedder.py
+++ b/integrations/fastembed/tests/test_fastembed_document_embedder.py
@@ -15,6 +15,8 @@ def test_init_default(self):
         """
         embedder = FastembedDocumentEmbedder(model="BAAI/bge-small-en-v1.5")
         assert embedder.model_name == "BAAI/bge-small-en-v1.5"
+        assert embedder.prefix == ""
+        assert embedder.suffix == ""
         assert embedder.batch_size == 256
         assert embedder.progress_bar is True
         assert embedder.meta_fields_to_embed == []
@@ -26,12 +28,16 @@ def test_init_with_parameters(self):
         """
         embedder = FastembedDocumentEmbedder(
             model="BAAI/bge-small-en-v1.5",
+            prefix="prefix",
+            suffix="suffix",
             batch_size=64,
             progress_bar=False,
             meta_fields_to_embed=["test_field"],
             embedding_separator=" | ",
         )
         assert embedder.model_name == "BAAI/bge-small-en-v1.5"
+        assert embedder.prefix == "prefix"
+        assert embedder.suffix == "suffix"
         assert embedder.batch_size == 64
         assert embedder.progress_bar is False
         assert embedder.meta_fields_to_embed == ["test_field"]
@@ -47,6 +53,8 @@ def test_to_dict(self):
             "type": "haystack_integrations.components.embedders.fastembed.fastembed_document_embedder.FastembedDocumentEmbedder",  #  noqa
             "init_parameters": {
                 "model": "BAAI/bge-small-en-v1.5",
+                "prefix": "",
+                "suffix": "",
                 "batch_size": 256,
                 "progress_bar": True,
                 "embedding_separator": "\n",
@@ -60,6 +68,8 @@ def test_to_dict_with_custom_init_parameters(self):
         """
         embedder = FastembedDocumentEmbedder(
             model="BAAI/bge-small-en-v1.5",
+            prefix="prefix",
+            suffix="suffix",
             batch_size=64,
             progress_bar=False,
             meta_fields_to_embed=["test_field"],
@@ -70,6 +80,8 @@ def test_to_dict_with_custom_init_parameters(self):
             "type": "haystack_integrations.components.embedders.fastembed.fastembed_document_embedder.FastembedDocumentEmbedder",  #  noqa
             "init_parameters": {
                 "model": "BAAI/bge-small-en-v1.5",
+                "prefix": "prefix",
+                "suffix": "suffix",
                 "batch_size": 64,
                 "progress_bar": False,
                 "meta_fields_to_embed": ["test_field"],
@@ -85,6 +97,8 @@ def test_from_dict(self):
             "type": "haystack_integrations.components.embedders.fastembed.fastembed_document_embedder.FastembedDocumentEmbedder",  #  noqa
             "init_parameters": {
                 "model": "BAAI/bge-small-en-v1.5",
+                "prefix": "",
+                "suffix": "",
                 "batch_size": 256,
                 "progress_bar": True,
                 "meta_fields_to_embed": [],
@@ -93,6 +107,8 @@ def test_from_dict(self):
         }
         embedder = default_from_dict(FastembedDocumentEmbedder, embedder_dict)
         assert embedder.model_name == "BAAI/bge-small-en-v1.5"
+        assert embedder.prefix == ""
+        assert embedder.suffix == ""
         assert embedder.batch_size == 256
         assert embedder.progress_bar is True
         assert embedder.meta_fields_to_embed == []
@@ -106,6 +122,8 @@ def test_from_dict_with_custom_init_parameters(self):
             "type": "haystack_integrations.components.embedders.fastembed.fastembed_document_embedder.FastembedDocumentEmbedder",  #  noqa
             "init_parameters": {
                 "model": "BAAI/bge-small-en-v1.5",
+                "prefix": "prefix",
+                "suffix": "suffix",
                 "batch_size": 64,
                 "progress_bar": False,
                 "meta_fields_to_embed": ["test_field"],
@@ -114,6 +132,8 @@ def test_from_dict_with_custom_init_parameters(self):
         }
         embedder = default_from_dict(FastembedDocumentEmbedder, embedder_dict)
         assert embedder.model_name == "BAAI/bge-small-en-v1.5"
+        assert embedder.prefix == "prefix"
+        assert embedder.suffix == "suffix"
         assert embedder.batch_size == 64
         assert embedder.progress_bar is False
         assert embedder.meta_fields_to_embed == ["test_field"]
diff --git a/integrations/fastembed/tests/test_fastembed_text_embedder.py b/integrations/fastembed/tests/test_fastembed_text_embedder.py
index 6327532e1..465f17976 100644
--- a/integrations/fastembed/tests/test_fastembed_text_embedder.py
+++ b/integrations/fastembed/tests/test_fastembed_text_embedder.py
@@ -15,6 +15,8 @@ def test_init_default(self):
         """
         embedder = FastembedTextEmbedder(model="BAAI/bge-small-en-v1.5")
         assert embedder.model_name == "BAAI/bge-small-en-v1.5"
+        assert embedder.prefix == ""
+        assert embedder.suffix == ""
         assert embedder.batch_size == 256
         assert embedder.progress_bar is True
 
@@ -24,10 +26,14 @@ def test_init_with_parameters(self):
         """
         embedder = FastembedTextEmbedder(
             model="BAAI/bge-small-en-v1.5",
+            prefix="prefix",
+            suffix="suffix",
             batch_size=64,
             progress_bar=False,
         )
         assert embedder.model_name == "BAAI/bge-small-en-v1.5"
+        assert embedder.prefix == "prefix"
+        assert embedder.suffix == "suffix"
         assert embedder.batch_size == 64
         assert embedder.progress_bar is False
 
@@ -41,6 +47,8 @@ def test_to_dict(self):
             "type": "haystack_integrations.components.embedders.fastembed.fastembed_text_embedder.FastembedTextEmbedder",  # noqa
             "init_parameters": {
                 "model": "BAAI/bge-small-en-v1.5",
+                "prefix": "",
+                "suffix": "",
                 "batch_size": 256,
                 "progress_bar": True,
             },
@@ -52,6 +60,8 @@ def test_to_dict_with_custom_init_parameters(self):
         """
         embedder = FastembedTextEmbedder(
             model="BAAI/bge-small-en-v1.5",
+            prefix="prefix",
+            suffix="suffix",
             batch_size=64,
             progress_bar=False,
         )
@@ -60,6 +70,8 @@ def test_to_dict_with_custom_init_parameters(self):
             "type": "haystack_integrations.components.embedders.fastembed.fastembed_text_embedder.FastembedTextEmbedder",  # noqa
             "init_parameters": {
                 "model": "BAAI/bge-small-en-v1.5",
+                "prefix": "prefix",
+                "suffix": "suffix",
                 "batch_size": 64,
                 "progress_bar": False,
             },
@@ -73,12 +85,16 @@ def test_from_dict(self):
             "type": "haystack_integrations.components.embedders.fastembed.fastembed_text_embedder.FastembedTextEmbedder",  # noqa
             "init_parameters": {
                 "model": "BAAI/bge-small-en-v1.5",
+                "prefix": "",
+                "suffix": "",
                 "batch_size": 256,
                 "progress_bar": True,
             },
         }
         embedder = default_from_dict(FastembedTextEmbedder, embedder_dict)
         assert embedder.model_name == "BAAI/bge-small-en-v1.5"
+        assert embedder.prefix == ""
+        assert embedder.suffix == ""
         assert embedder.batch_size == 256
         assert embedder.progress_bar is True
 
@@ -90,12 +106,16 @@ def test_from_dict_with_custom_init_parameters(self):
             "type": "haystack_integrations.components.embedders.fastembed.fastembed_text_embedder.FastembedTextEmbedder",  # noqa
             "init_parameters": {
                 "model": "BAAI/bge-small-en-v1.5",
+                "prefix": "prefix",
+                "suffix": "suffix",
                 "batch_size": 64,
                 "progress_bar": False,
             },
         }
         embedder = default_from_dict(FastembedTextEmbedder, embedder_dict)
         assert embedder.model_name == "BAAI/bge-small-en-v1.5"
+        assert embedder.prefix == "prefix"
+        assert embedder.suffix == "suffix"
         assert embedder.batch_size == 64
         assert embedder.progress_bar is False