Moved from explicit SentenceTransformer to HuggingFaceEmbeddings

notebooks/Fine_Tuning_Embedding_for_PSTuts.ipynb

@@ -600,12 +600,12 @@
         }
       ],
       "source": [
-        "from sentence_transformers import SentenceTransformer\n",
+        "\n",
         "\n",
         "model_id = \"Snowflake/snowflake-arctic-embed-s\"\n",
         "model_tag = model_id.split(\"/\")[1]\n",
         "print(model_tag)\n",
-        "model = SentenceTransformer(model_id)"
+        "model = HuggingFaceEmbeddings(model_name=model_id)"
       ]
     },
     {

notebooks/evaluate_rag.ipynb

@@ -110,7 +110,7 @@
    "outputs": [],
    "source": [
     "from langchain_openai import OpenAIEmbeddings\n",
-    "from sentence_transformers import SentenceTransformer\n",
+    "\n",
     "from langchain_huggingface import HuggingFaceEmbeddings\n",
     "\n",
     "\n",
@@ -153,7 +153,7 @@
     "base.rag = RAGChainInstance(name=\"base\",\n",
     "                            qdrant_client=qdrant_client,\n",
     "                            llm=ChatOpenAI(model=\"gpt-4.1-nano\"),\n",
-    "                            embeddings=SentenceTransformer(base_model_HF_id))\n",
+    "                            embeddings=HuggingFaceEmbeddings(model_name=base_model_HF_id))\n",
     "\n"
    ]
   },
@@ -819,7 +819,7 @@
     "ft.rag = RAGChainInstance(name=\"ft\",\n",
     "                            qdrant_client=qdrant_client,\n",
     "                            llm=ChatOpenAI(model=\"gpt-4.1-nano\"),\n",
-    "                            embeddings=SentenceTransformer(ft_model_HF_id))\n"
+    "                            embeddings=HuggingFaceEmbeddings(model_name=ft_model_HF_id))\n"
    ]
   },
   {