hotfix adding finetuned bgm (#516)

Author: Muhammad-Elmallah

aixplain/enums/embedding_model.py

@@ -26,7 +26,8 @@ class EmbeddingModel(Enum):
     SNOWFLAKE_ARCTIC_EMBED_L_V2_0 = "678a4f8547f687504744960a"
     JINA_CLIP_V2_MULTIMODAL = "67c5f705d8f6a65d6f74d732"
     MULTILINGUAL_E5_LARGE = "67efd0772a0a850afa045af3"
-    BGE_M3 = "67f401032a0a850afa045b19"
+    BGE_M3 = "67efd4f92a0a850afa045af7"
+    AIXPLAIN_LEGAL_EMBEDDINGS = "681254b668e47e7844c1f15a"
 
 
 

tests/functional/model/run_model_test.py

@@ -65,6 +65,7 @@ def test_run_async():
         pytest.param(EmbeddingModel.SNOWFLAKE_ARCTIC_EMBED_L_V2_0, id="Snowflake Arctic Embed L v2.0"),
         pytest.param(EmbeddingModel.MULTILINGUAL_E5_LARGE, id="Multilingual E5 Large"),
         pytest.param(EmbeddingModel.BGE_M3, id="BGE M3"),
+        pytest.param(EmbeddingModel.AIXPLAIN_LEGAL_EMBEDDINGS, id="aiXplain Legal Embeddings"),
     ],
 )
 def test_index_model(embedding_model):
@@ -112,6 +113,7 @@ def test_index_model(embedding_model):
         pytest.param(EmbeddingModel.JINA_CLIP_V2_MULTIMODAL, id="Jina Clip v2 Multimodal"),
         pytest.param(EmbeddingModel.MULTILINGUAL_E5_LARGE, id="Multilingual E5 Large"),
         pytest.param(EmbeddingModel.BGE_M3, id="BGE M3"),
+        pytest.param(EmbeddingModel.AIXPLAIN_LEGAL_EMBEDDINGS, id="aiXplain Legal Embeddings"),
     ],
 )
 def test_index_model_with_filter(embedding_model):