Adding more text to notebook

Author: codingbandit

Labs/lab_4_langchain.ipynb

@@ -354,7 +354,9 @@
    "source": [
     "### Create the agent\n",
     "\n",
-    "The [`create_conversational_retrieval_agent`](https://python.langchain.com/docs/use_cases/question_answering/conversational_retrieval_agents#agent-constructor) is a built-in agent that includes conversational history as well uses the [OpenAIFunctionsAgent](https://python.langchain.com/docs/modules/agents/agent_types/openai_functions_agent#using-openaifunctionsagent) as its underlying implementation."
+    "The [`create_conversational_retrieval_agent`](https://python.langchain.com/docs/use_cases/question_answering/conversational_retrieval_agents#agent-constructor) is a built-in agent that includes conversational history as well uses the [OpenAIFunctionsAgent](https://python.langchain.com/docs/modules/agents/agent_types/openai_functions_agent#using-openaifunctionsagent) as its underlying implementation.\n",
+    "\n",
+    "Remember that an agent leverages the LLM to assess the incoming request with the current context to decide what steps or actions need to be executed and in what order. LangChain agents can leverage tools. A tool can be an integration into an external system, custom code, or even another chain."
    ]
   },
   {
@@ -372,8 +374,7 @@
     "        You are designed to answer questions about the products that Cosmic Works sells, the customers that buy them, and the sales orders that are placed by customers.\n",
     "\n",
     "        If you don't know the answer to a question, respond with \"I don't know.\"\n",
-    "    \"\"\"\n",
-    "    \n",
+    "    \"\"\"    \n",
     ")\n",
     "agent_executor = create_conversational_retrieval_agent(llm, tools, system_message = system_message, verbose=True)"
    ]