modified the jupyter notebook commenting format

cookbook/rag_with_faiss.ipynb

@@ -89,7 +89,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "#Import all necessary libraries\n",
+    "# Import all necessary libraries\n",
     "import requests\n",
     "from langchain_openai import ChatOpenAI\n",
     "from langchain_community.vectorstores import FAISS\n",
@@ -123,7 +123,7 @@
     "import os\n",
     "\n",
     "if not os.environ.get(\"OPENAI_API_KEY\"):\n",
-    "  os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"Enter API key for OpenAI: \")\n"
+    "    os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"Enter API key for OpenAI: \")\n"
    ]
   },
   {
@@ -158,7 +158,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "#Write the helper functions\n",
+    "# Write the helper functions\n",
     "def process_documents(file_paths):\n",
     "    print(file_paths)\n",
     "    \"\"\"Processes and updates the vector store with new documents.\"\"\"\n",
@@ -262,7 +262,7 @@
     }
    ],
    "source": [
-    "#Create Vector embeddings\n",
+    "# Create Vector embeddings\n",
     "process_documents(filepaths)"
    ]
   },
@@ -282,8 +282,8 @@
     }
    ],
    "source": [
-    "qa_chain = get_qa_chain()\n",
-    "# "
+    "# Build QA Chain\n",
+    "qa_chain = get_qa_chain()"
    ]
   },
   {
@@ -301,7 +301,7 @@
     }
    ],
    "source": [
-    "#query the documents\n",
+    "# query the documents\n",
     "question = 'Which company is performing better in between Nike and Puma'\n",
     "response = qa_chain.invoke(question)\n",
     "print(response)"