python(feat): Imagebind embedding fn support (#1003)

Added imagebind fn support , steps to install mentioned in docstring. 
pytest slow checks done locally

---------

Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>

python/tests/test_embeddings_slow.py

@@ -28,6 +28,23 @@ from lancedb.pydantic import LanceModel, Vector
 # or connection to external api
 
 
+try:
+    if importlib.util.find_spec("mlx.core") is not None:
+        _mlx = True
+    else:
+        _mlx = None
+except Exception:
+    _mlx = None
+
+try:
+    if importlib.util.find_spec("imagebind") is not None:
+        _imagebind = True
+    else:
+        _imagebind = None
+except Exception:
+    _imagebind = None
+
+
 @pytest.mark.slow
 @pytest.mark.parametrize("alias", ["sentence-transformers", "openai"])
 def test_basic_text_embeddings(alias, tmp_path):
@@ -158,6 +175,89 @@ def test_openclip(tmp_path):
     )
 
 
+@pytest.mark.skipif(
+    _imagebind is None,
+    reason="skip if imagebind not installed.",
+)
+@pytest.mark.slow
+def test_imagebind(tmp_path):
+    import os
+    import shutil
+    import tempfile
+
+    import pandas as pd
+    import requests
+
+    import lancedb.embeddings.imagebind
+    from lancedb.embeddings import get_registry
+    from lancedb.pydantic import LanceModel, Vector
+
+    with tempfile.TemporaryDirectory() as temp_dir:
+        print(f"Created temporary directory {temp_dir}")
+
+        def download_images(image_uris):
+            downloaded_image_paths = []
+            for uri in image_uris:
+                try:
+                    response = requests.get(uri, stream=True)
+                    if response.status_code == 200:
+                        # Extract image name from URI
+                        image_name = os.path.basename(uri)
+                        image_path = os.path.join(temp_dir, image_name)
+                        with open(image_path, "wb") as out_file:
+                            shutil.copyfileobj(response.raw, out_file)
+                        downloaded_image_paths.append(image_path)
+                except Exception as e:  # noqa: PERF203
+                    print(f"Failed to download {uri}. Error: {e}")
+            return temp_dir, downloaded_image_paths
+
+        db = lancedb.connect(tmp_path)
+        registry = get_registry()
+        func = registry.get("imagebind").create(max_retries=0)
+
+        class Images(LanceModel):
+            label: str
+            image_uri: str = func.SourceField()
+            vector: Vector(func.ndims()) = func.VectorField()
+
+        table = db.create_table("images", schema=Images)
+        labels = ["cat", "cat", "dog", "dog", "horse", "horse"]
+        uris = [
+            "http://farm1.staticflickr.com/53/167798175_7c7845bbbd_z.jpg",
+            "http://farm1.staticflickr.com/134/332220238_da527d8140_z.jpg",
+            "http://farm9.staticflickr.com/8387/8602747737_2e5c2a45d4_z.jpg",
+            "http://farm5.staticflickr.com/4092/5017326486_1f46057f5f_z.jpg",
+            "http://farm9.staticflickr.com/8216/8434969557_d37882c42d_z.jpg",
+            "http://farm6.staticflickr.com/5142/5835678453_4f3a4edb45_z.jpg",
+        ]
+        temp_dir, downloaded_images = download_images(uris)
+        table.add(pd.DataFrame({"label": labels, "image_uri": downloaded_images}))
+        # text search
+        actual = (
+            table.search("man's best friend", vector_column_name="vector")
+            .limit(1)
+            .to_pydantic(Images)[0]
+        )
+        assert actual.label == "dog"
+
+        # image search
+        query_image_uri = [
+            "https://live.staticflickr.com/65535/33336453970_491665f66e_h.jpg"
+        ]
+        temp_dir, downloaded_images = download_images(query_image_uri)
+        query_image_uri = downloaded_images[0]
+        actual = (
+            table.search(query_image_uri, vector_column_name="vector")
+            .limit(1)
+            .to_pydantic(Images)[0]
+        )
+        assert actual.label == "dog"
+
+    if os.path.isdir(temp_dir):
+        shutil.rmtree(temp_dir)
+        print(f"Deleted temporary directory {temp_dir}")
+
+
 @pytest.mark.slow
 @pytest.mark.skipif(
     os.environ.get("COHERE_API_KEY") is None, reason="COHERE_API_KEY not set"
@@ -217,13 +317,6 @@ def test_gemini_embedding(tmp_path):
     assert tbl.search("hello").limit(1).to_pandas()["text"][0] == "hello world"
 
 
-try:
-    if importlib.util.find_spec("mlx.core") is not None:
-        _mlx = True
-except ImportError:
-    _mlx = None
-
-
 @pytest.mark.skipif(
     _mlx is None,
     reason="mlx tests only required for apple users.",