* added log tab

* added references text box
* added options to choose embedding models

backend/embeddings_manager.py

@@ -0,0 +1,13 @@
+from langchain_community.embeddings.huggingface import HuggingFaceEmbeddings
+import torch
+
+# dict : huggingface url -> max token length (will be chunk size)
+MODELS_DICT = {"intfloat/multilingual-e5-large": 512,
+               "intfloat/multilingual-e5-large-instruct": 512}
+
+
+def get_embedding_model(name: str):
+    if name in MODELS_DICT:
+        return HuggingFaceEmbeddings(model_name=name, model_kwargs={'device': 'cuda'} if torch.cuda.is_available() else {})
+    else:
+        raise ValueError(f"Model {name} not found in the list of available models")