Hugginface backend and netlify frontend commit

notebook/document.ipynb

@@ -339,6 +339,22 @@
     "type(dir_documents[0])"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "036e1450",
+   "metadata": {},
+   "source": [
+    "### Chunking\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5ed67558",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "id": "1c5f116b",
@@ -366,7 +382,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 37,
    "id": "875fbee5",
    "metadata": {},
    "outputs": [
@@ -381,10 +397,10 @@
     {
      "data": {
       "text/plain": [
-       "<__main__.EmbeddingManager at 0x75281dda42b0>"
+       "<__main__.EmbeddingManager at 0x75281d7ef610>"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -423,7 +439,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 36,
    "id": "5fe490be",
    "metadata": {},
    "outputs": [
@@ -438,10 +454,10 @@
     {
      "data": {
       "text/plain": [
-       "<__main__.VectorStore at 0x75281e50e410>"
+       "<__main__.VectorStore at 0x75281e50f460>"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -496,6 +512,8 @@
     "            raise ValueError(\"Number of documents must match number of embeddings\")\n",
     "        \n",
     "        print(f\"Adding {len(documents)} documents to vector store...\")\n",
+    "    \n",
+    "    \n",
     "        \n",
     "        # Prepare data for ChromaDB\n",
     "        ids = []\n",

notebook/document_2.ipynb

@@ -54,19 +54,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "id": "19755831",
    "metadata": {},
    "outputs": [
     {
      "ename": "ModuleNotFoundError",
-     "evalue": "No module named 'langchain_ollama'",
+     "evalue": "No module named 'openai'",
      "output_type": "error",
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[11], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# backend/rag_app.py\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mlangchain_ollama\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m OllamaLLM\n\u001b[1;32m      3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01membeddings\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m EmbeddingManager\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mstore\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m VectorStore\n",
-      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'langchain_ollama'"
+      "Cell \u001b[0;32mIn[12], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# backend/rag_app.py\u001b[39;00m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mos\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mopenai\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m OpenAI\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01membeddings\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m EmbeddingManager\n\u001b[1;32m      5\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mstore\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m VectorStore\n",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'openai'"
      ]
     }
    ],