feat(python): add watsonx embeddings to registry (#1486)

Related issue: https://github.com/lancedb/lancedb/issues/1412

---------

Co-authored-by: Robby <h0rv@users.noreply.github.com>

python/python/tests/test_embeddings_slow.py

@@ -417,3 +417,28 @@ def test_openai_embedding(tmp_path):
     tbl.add(df)
     assert len(tbl.to_pandas()["vector"][0]) == model.ndims()
     assert tbl.search("hello").limit(1).to_pandas()["text"][0] == "hello world"
+
+
+@pytest.mark.slow
+@pytest.mark.skipif(
+    os.environ.get("WATSONX_API_KEY") is None
+    or os.environ.get("WATSONX_PROJECT_ID") is None,
+    reason="WATSONX_API_KEY and WATSONX_PROJECT_ID not set",
+)
+def test_watsonx_embedding(tmp_path):
+    from lancedb.embeddings import WatsonxEmbeddings
+
+    for name in WatsonxEmbeddings.model_names():
+        model = get_registry().get("watsonx").create(max_retries=0, name=name)
+
+        class TextModel(LanceModel):
+            text: str = model.SourceField()
+            vector: Vector(model.ndims()) = model.VectorField()
+
+        db = lancedb.connect("~/.lancedb")
+        tbl = db.create_table("watsonx_test", schema=TextModel, mode="overwrite")
+        df = pd.DataFrame({"text": ["hello world", "goodbye world"]})
+
+        tbl.add(df)
+        assert len(tbl.to_pandas()["vector"][0]) == model.ndims()
+        assert tbl.search("hello").limit(1).to_pandas()["text"][0] == "hello world"