diff --git a/integrations/azure_ai_search/example/document_store.py b/integrations/azure_ai_search/example/document_store.py
new file mode 100644
index 000000000..ac490aa5e
--- /dev/null
+++ b/integrations/azure_ai_search/example/document_store.py
@@ -0,0 +1,37 @@
+from haystack import Document
+from haystack.document_stores.types import DuplicatePolicy
+
+from haystack_integrations.document_stores.azure_ai_search import AzureAISearchDocumentStore
+
+document_store = AzureAISearchDocumentStore(
+    metadata_fields={"version": float, "label": str},
+    index_name="document-store-example",
+)
+
+documents = [
+    Document(
+        content="Use pip to install a basic version of Haystack's latest release: pip install farm-haystack.",
+        meta={"version": 1.15, "label": "first"},
+    ),
+    Document(
+        content="Use pip to install a Haystack's latest release: pip install farm-haystack[inference].",
+        meta={"version": 1.22, "label": "second"},
+    ),
+    Document(
+        content="Use pip to install only the Haystack 2.0 code: pip install haystack-ai.",
+        meta={"version": 2.0, "label": "third"},
+    ),
+]
+document_store.write_documents(documents, policy=DuplicatePolicy.SKIP)
+
+filters = {
+    "operator": "AND",
+    "conditions": [
+        {"field": "meta.version", "operator": ">", "value": 1.21},
+        {"field": "meta.label", "operator": "in", "value": ["first", "third"]},
+    ],
+}
+
+results = document_store.filter_documents(filters)
+for doc in results:
+    print(doc)
diff --git a/integrations/azure_ai_search/example/embedding_retrieval.py b/integrations/azure_ai_search/example/embedding_retrieval.py
new file mode 100644
index 000000000..f026d77b8
--- /dev/null
+++ b/integrations/azure_ai_search/example/embedding_retrieval.py
@@ -0,0 +1,37 @@
+from haystack import Document, Pipeline
+from haystack.components.embedders import SentenceTransformersDocumentEmbedder, SentenceTransformersTextEmbedder
+from haystack.document_stores.types import DuplicatePolicy
+
+from haystack_integrations.components.retrievers.azure_ai_search import AzureAISearchEmbeddingRetriever
+from haystack_integrations.document_stores.azure_ai_search import AzureAISearchDocumentStore
+
+document_store = AzureAISearchDocumentStore()
+
+model = "sentence-transformers/all-mpnet-base-v2"
+
+documents = [
+    Document(content="There are over 7,000 languages spoken around the world today."),
+    Document(
+        content="""Elephants have been observed to behave in a way that indicates a
+         high level of self-awareness, such as recognizing themselves in mirrors."""
+    ),
+    Document(
+        content="""In certain parts of the world, like the Maldives, Puerto Rico, and
+          San Diego, you can witness the phenomenon of bioluminescent waves."""
+    ),
+]
+
+document_embedder = SentenceTransformersDocumentEmbedder(model=model)
+document_embedder.warm_up()
+documents_with_embeddings = document_embedder.run(documents)
+document_store.write_documents(documents_with_embeddings.get("documents"), policy=DuplicatePolicy.SKIP)
+query_pipeline = Pipeline()
+query_pipeline.add_component("text_embedder", SentenceTransformersTextEmbedder(model=model))
+query_pipeline.add_component("retriever", AzureAISearchEmbeddingRetriever(document_store=document_store))
+query_pipeline.connect("text_embedder.embedding", "retriever.query_embedding")
+
+query = "How many languages are there?"
+
+result = query_pipeline.run({"text_embedder": {"text": query}})
+
+print(result["retriever"]["documents"][0])
diff --git a/integrations/azure_ai_search/pyproject.toml b/integrations/azure_ai_search/pyproject.toml
index 08c44c3c9..c90ebfc5d 100644
--- a/integrations/azure_ai_search/pyproject.toml
+++ b/integrations/azure_ai_search/pyproject.toml
@@ -7,7 +7,7 @@ name = "azure-ai-search-haystack"
 dynamic = ["version"]
 description = 'Haystack 2.x Document Store for Azure AI Search'
 readme = "README.md"
-requires-python = ">=3.8"
+requires-python = ">=3.8,<3.13"
 license = "Apache-2.0"
 keywords = []
 authors = [{ name = "deepset", email = "info@deepset.ai" }]
@@ -22,7 +22,7 @@ classifiers = [
   "Programming Language :: Python :: Implementation :: CPython",
   "Programming Language :: Python :: Implementation :: PyPy",
 ]
-dependencies = ["haystack-ai>=2.0", "azure-search-documents>=11.5", "azure-identity"]
+dependencies = ["haystack-ai", "azure-search-documents>=11.5", "azure-identity", "torch>=1.11.0"]
 
 [project.urls]
 Documentation = "https://github.com/deepset-ai/haystack-core-integrations/tree/main/integrations/azure_ai_search#readme"
@@ -130,6 +130,7 @@ unfixable = [
   # Don't touch unused imports
   "F401",
 ]
+exclude = ["example"]
 
 [tool.ruff.lint.isort]
 known-first-party = ["src"]
@@ -140,6 +141,7 @@ ban-relative-imports = "parents"
 [tool.ruff.lint.per-file-ignores]
 # Tests can use magic values, assertions, and relative imports
 "tests/**/*" = ["PLR2004", "S101", "TID252", "S311"]
+"example/**/*" = ["T201"]
 
 [tool.coverage.run]
 source = ["haystack_integrations"]