docs(rag): add xpu to embedding device options

docs/edge/ar/tools/ai-ml/ragtool.mdx

@@ -460,7 +460,7 @@ rag_tool = RagTool(config=config, summarize=True)
 
     **خيارات الإعداد:**
     - `model_name` (str): معرّف نموذج HuggingFace. القيمة الافتراضية: `hkunlp/instructor-base`. الخيارات: `hkunlp/instructor-xl`، `hkunlp/instructor-large`، `hkunlp/instructor-base`
-    - `device` (str): الجهاز للتشغيل. القيمة الافتراضية: `cpu`. الخيارات: `cpu`، `cuda`، `mps`
+    - `device` (str): الجهاز للتشغيل. القيمة الافتراضية: `cpu`. الخيارات: `cpu`، `cuda`، `mps`، `xpu`
     - `instruction` (str): بادئة التعليمات للتضمينات
 
     **متغيرات البيئة:**
@@ -485,7 +485,7 @@ rag_tool = RagTool(config=config, summarize=True)
 
     **خيارات الإعداد:**
     - `model_name` (str): اسم نموذج Sentence Transformers. القيمة الافتراضية: `all-MiniLM-L6-v2`. الخيارات: `all-mpnet-base-v2`، `all-MiniLM-L6-v2`، `paraphrase-multilingual-MiniLM-L12-v2`
-    - `device` (str): الجهاز للتشغيل. القيمة الافتراضية: `cpu`. الخيارات: `cpu`، `cuda`، `mps`
+    - `device` (str): الجهاز للتشغيل. القيمة الافتراضية: `cpu`. الخيارات: `cpu`، `cuda`، `mps`، `xpu`
     - `normalize_embeddings` (bool): ما إذا كان يتم تطبيع التضمينات. القيمة الافتراضية: `False`
 
     **متغيرات البيئة:**

docs/edge/en/tools/ai-ml/ragtool.mdx

@@ -460,7 +460,7 @@ The `embedding_model` parameter accepts a `crewai.rag.embeddings.types.ProviderS
 
     **Config Options:**
     - `model_name` (str): HuggingFace model ID. Default: `hkunlp/instructor-base`. Options: `hkunlp/instructor-xl`, `hkunlp/instructor-large`, `hkunlp/instructor-base`
-    - `device` (str): Device to run on. Default: `cpu`. Options: `cpu`, `cuda`, `mps`
+    - `device` (str): Device to run on. Default: `cpu`. Options: `cpu`, `cuda`, `mps`, `xpu`
     - `instruction` (str): Instruction prefix for embeddings
 
     **Environment Variables:**
@@ -485,7 +485,7 @@ The `embedding_model` parameter accepts a `crewai.rag.embeddings.types.ProviderS
 
     **Config Options:**
     - `model_name` (str): Sentence Transformers model name. Default: `all-MiniLM-L6-v2`. Options: `all-mpnet-base-v2`, `all-MiniLM-L6-v2`, `paraphrase-multilingual-MiniLM-L12-v2`
-    - `device` (str): Device to run on. Default: `cpu`. Options: `cpu`, `cuda`, `mps`
+    - `device` (str): Device to run on. Default: `cpu`. Options: `cpu`, `cuda`, `mps`, `xpu`
     - `normalize_embeddings` (bool): Whether to normalize embeddings. Default: `False`
 
     **Environment Variables:**

lib/crewai/src/crewai/rag/embeddings/providers/instructor/instructor_provider.py

@@ -26,7 +26,7 @@ class InstructorProvider(BaseEmbeddingsProvider[InstructorEmbeddingFunction]):
     )
     device: str = Field(
         default="cpu",
-        description="Device to run model on (cpu or cuda)",
+        description="Device to run model on (e.g., cpu, cuda, mps, xpu)",
         validation_alias=AliasChoices(
             "EMBEDDINGS_INSTRUCTOR_DEVICE", "INSTRUCTOR_DEVICE"
         ),

lib/crewai/src/crewai/rag/embeddings/providers/sentence_transformer/sentence_transformer_provider.py

@@ -28,7 +28,7 @@ class SentenceTransformerProvider(
     )
     device: str = Field(
         default="cpu",
-        description="Device to run model on (cpu or cuda)",
+        description="Device to run model on (e.g., cpu, cuda, mps, xpu)",
         validation_alias=AliasChoices(
             "EMBEDDINGS_SENTENCE_TRANSFORMER_DEVICE", "SENTENCE_TRANSFORMER_DEVICE"
         ),

lib/crewai/tests/rag/embeddings/test_backward_compatibility.py

@@ -1,5 +1,7 @@
 """Tests for backward compatibility of embedding provider configurations."""
 
+import pytest
+
 from crewai.rag.embeddings.factory import build_embedder, PROVIDER_PATHS
 from crewai.rag.embeddings.providers.openai.openai_provider import OpenAIProvider
 from crewai.rag.embeddings.providers.cohere.cohere_provider import CohereProvider
@@ -337,15 +339,19 @@ def test_ragtool_jina_config(self):
         )
         assert provider.model_name == "jina-embeddings-v3"
 
-    def test_ragtool_sentence_transformer_config(self):
-        """Test RagTool SentenceTransformer config from ragtool.mdx."""
+    @pytest.mark.parametrize("device", ["cuda", "mps", "xpu"])
+    def test_ragtool_sentence_transformer_config(self, device: str):
+        """Test RagTool SentenceTransformer config from ragtool.mdx.
+
+        Parametrized over documented device strings to confirm each
+        value is preserved."""
         provider = SentenceTransformerProvider(
             model_name="all-mpnet-base-v2",
-            device="cuda",
+            device=device,
             normalize_embeddings=True,
         )
         assert provider.model_name == "all-mpnet-base-v2"
-        assert provider.device == "cuda"
+        assert provider.device == device
         assert provider.normalize_embeddings is True