Created using Colab

notebooks/Metadata_Filtering.ipynb

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+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m130.8/130.8 kB\u001b[0m \u001b[31m10.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m141.9/141.9 kB\u001b[0m \u001b[31m9.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m290.4/290.4 kB\u001b[0m \u001b[31m8.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
             "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.3/2.3 MB\u001b[0m \u001b[31m17.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m309.3/309.3 kB\u001b[0m \u001b[31m13.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.5/57.5 kB\u001b[0m \u001b[31m5.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.2/49.2 kB\u001b[0m \u001b[31m3.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m309.3/309.3 kB\u001b[0m \u001b[31m13.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.5/57.5 kB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.2/49.2 kB\u001b[0m \u001b[31m3.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
             "\u001b[?25h\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
             "cudf-cu12 24.4.1 requires protobuf<5,>=3.20, but you have protobuf 5.27.2 which is incompatible.\n",
             "google-ai-generativelanguage 0.6.4 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.2 which is incompatible.\n",
@@ -789,7 +789,7 @@
       "metadata": {
         "id": "riuXwpSPcvWC"
       },
-      "execution_count": null,
+      "execution_count": 2,
       "outputs": []
     },
     {
@@ -802,7 +802,7 @@
       "metadata": {
         "id": "jIEeZzqLbz0J"
       },
-      "execution_count": null,
+      "execution_count": 3,
       "outputs": []
     },
     {
@@ -824,7 +824,7 @@
       "metadata": {
         "id": "9oGT6crooSSj"
       },
-      "execution_count": null,
+      "execution_count": 4,
       "outputs": []
     },
     {
@@ -849,7 +849,7 @@
       "metadata": {
         "id": "aNY6mrk6BF7V"
       },
-      "execution_count": null,
+      "execution_count": 5,
       "outputs": []
     },
     {
@@ -862,7 +862,7 @@
       "metadata": {
         "id": "Z109ur9OC7U_"
       },
-      "execution_count": null,
+      "execution_count": 6,
       "outputs": []
     },
     {
@@ -902,24 +902,24 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "wl_pbPvMlv1h",
-        "outputId": "70f543d9-5adb-49ce-cfea-2697f2f67582"
+        "outputId": "9d052275-9b9d-4976-f2f5-1a1d111bbb60"
       },
-      "execution_count": null,
+      "execution_count": 7,
       "outputs": [
         {
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "--2024-07-03 19:38:17--  https://raw.githubusercontent.com/AlaFalaki/tutorial_notebooks/main/data/mini-llama-articles.csv\n",
-            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.111.133, 185.199.108.133, 185.199.110.133, ...\n",
-            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.111.133|:443... connected.\n",
+            "--2024-07-10 17:06:11--  https://raw.githubusercontent.com/AlaFalaki/tutorial_notebooks/main/data/mini-llama-articles.csv\n",
+            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.109.133, 185.199.108.133, 185.199.111.133, ...\n",
+            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.109.133|:443... connected.\n",
             "HTTP request sent, awaiting response... 200 OK\n",
             "Length: 173646 (170K) [text/plain]\n",
             "Saving to: ‘mini-llama-articles.csv’\n",
             "\n",
-            "\rmini-llama-articles   0%[                    ]       0  --.-KB/s               \rmini-llama-articles 100%[===================>] 169.58K  --.-KB/s    in 0.02s   \n",
+            "mini-llama-articles 100%[===================>] 169.58K  --.-KB/s    in 0.1s    \n",
             "\n",
-            "2024-07-03 19:38:17 (6.99 MB/s) - ‘mini-llama-articles.csv’ saved [173646/173646]\n",
+            "2024-07-10 17:06:12 (1.52 MB/s) - ‘mini-llama-articles.csv’ saved [173646/173646]\n",
             "\n"
           ]
         }
@@ -957,9 +957,9 @@
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "e5942cc4-db86-435d-aa1e-e50872c54978"
+        "outputId": "9efce6d4-760f-435b-9e6e-44a993d11442"
       },
-      "execution_count": null,
+      "execution_count": 8,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -993,7 +993,7 @@
       "metadata": {
         "id": "YizvmXPejkJE"
       },
-      "execution_count": null,
+      "execution_count": 9,
       "outputs": []
     },
     {
@@ -1019,7 +1019,7 @@
       "metadata": {
         "id": "9z3t70DGWsjO"
       },
-      "execution_count": null,
+      "execution_count": 10,
       "outputs": []
     },
     {
@@ -1050,34 +1050,34 @@
           "base_uri": "https://localhost:8080/",
           "height": 116,
           "referenced_widgets": [
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+            "355241154533492daa560f1f9269693e",
+            "2990c7fc63f243bc8e984f7953f66c7e",
+            "157d589b1b6c46b68b9457b117908fdd",
+            "865e3622a8ff4ad0b457bd6dfc1aa703",
+            "e3ef913013ca48feabe77c39af71a17e"
           ]
         },
         "id": "P9LDJ7o-Wsc-",
-        "outputId": "8fcb2a02-6322-40d8-9852-2b2814b6b9c6"
+        "outputId": "139c0860-71d6-47a4-a569-61499a173f9b"
       },
-      "execution_count": null,
+      "execution_count": 11,
       "outputs": [
         {
           "output_type": "display_data",
@@ -1088,7 +1088,7 @@
             "application/vnd.jupyter.widget-view+json": {
               "version_major": 2,
               "version_minor": 0,
-              "model_id": "1350b1f2c9df4113bde94c59ad0db010"
+              "model_id": "d3a4fe4269ed45dcab07c9068d8d4ea8"
             }
           },
           "metadata": {}
@@ -1097,7 +1097,7 @@
           "output_type": "stream",
           "name": "stderr",
           "text": [
-            "100%|██████████| 108/108 [00:35<00:00,  3.07it/s]\n"
+            "100%|██████████| 108/108 [00:57<00:00,  1.89it/s]\n"
           ]
         },
         {
@@ -1109,7 +1109,7 @@
             "application/vnd.jupyter.widget-view+json": {
               "version_major": 2,
               "version_minor": 0,
-              "model_id": "3039a33537694d60a5321035fd0bbcc5"
+              "model_id": "4f34f259d011412f8caab28a8bacfab5"
             }
           },
           "metadata": {}
@@ -1133,9 +1133,9 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "mPGa85hM2P3P",
-        "outputId": "6c176992-8405-4702-a1e5-c27c975b29c2"
+        "outputId": "de62aba3-ad82-4b78-a800-1aee72546c0f"
       },
-      "execution_count": null,
+      "execution_count": 12,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1149,6 +1149,35 @@
         }
       ]
     },
+    {
+      "cell_type": "code",
+      "source": [
+        "nodes[0].metadata"
+      ],
+      "metadata": {
+        "id": "03xtKcBanBDL",
+        "outputId": "cea4fca1-f193-4f22-eade-b638888139b6",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
+      },
+      "execution_count": 15,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "{'title': \"Beyond GPT-4: What's New?\",\n",
+              " 'url': 'https://pub.towardsai.net/beyond-gpt-4-whats-new-cbd61a448eb9#dda8',\n",
+              " 'source_name': 'towards_ai',\n",
+              " 'excerpt_keywords': 'Meta, Llama 2, Llama 2-Chat, Code Llama, LLMs, GPT-4, open-source, fine-tuning, benchmark, multimodal models, dialogue-centric applications, human-centric evaluations, AI development, code tasks, transparency.'}"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 15
+        }
+      ]
+    },
     {
       "cell_type": "code",
       "source": [