update examples/RAG-with-Fine-Tuned-Models notebook

aitomatic · Mar 12, 2024 · d0a7a1a · d0a7a1a
1 parent c1e361b
commit d0a7a1a
Showing 1 changed file with 47 additions and 9 deletions.
diff --git a/examples/RAG-with-Fine-Tuned-Models.ipynb b/examples/RAG-with-Fine-Tuned-Models.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -46,7 +46,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -63,14 +63,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\Aitom\\OneDrive\\CODE\\Windows\\OpenSSA\\.venv\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "  from .autonotebook import tqdm as notebook_tqdm\n",
+      "Parsing nodes: 100%|██████████| 121/121 [00:00<00:00, 608.15it/s]\n",
+      "Generating embeddings: 100%|██████████| 140/140 [00:01<00:00, 85.03it/s]\n"
+     ]
+    }
+   ],
    "source": [
     "documents = SimpleDirectoryReader(input_dir=RESOURCE_PATH,\n",
     "                                  input_files=None,\n",
-    "                                  exclude=None,\n",
-    "                                  exclude_hidden=True,\n",
+    "                                  exclude=['.DS_Store', '*.json'],\n",
+    "                                  exclude_hidden=False,\n",
     "                                  errors='strict',\n",
     "                                  recursive=True,\n",
     "                                  encoding='utf-8',\n",
@@ -79,9 +90,36 @@
     "                                  file_extractor=None,\n",
     "                                  num_files_limit=None,\n",
     "                                  file_metadata=None,\n",
-    "                                  fs=None)\n",
+    "                                  fs=None).load_data(show_progress=True,\n",
+    "                                                     num_workers=8)\n",
+    "\n",
+    "index = VectorStoreIndex.from_documents(documents=documents,\n",
+    "                                        storage_context=None,\n",
+    "                                        show_progress=True,\n",
+    "                                        callback_manager=None,\n",
+    "                                        transformations=None)\n",
     "\n",
-    "index = VectorStoreIndex.from_documents(documents)"
+    "query_engine = index.as_query_engine()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'AMD'"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "query_engine.query('Which company do you know well?').response"
    ]
   },
   {