More updates to preamble and code comments

examples/Conversational_agents_using_tools.ipynb

@@ -21,11 +21,11 @@
     "\n",
     "## Notebook Sections\n",
     "\n",
-    "- **Setup:** Import packages, set any required variables and connect to a vector database.\n",
+    "- **Setup:** Import packages and connect to a Pinecone vector database.\n",
     "- **LLM Agent:** Build an agent that leverages a modified version of the [ReAct](https://react-lm.github.io/) framework to do chain-of-thought reasoning.\n",
-    "- **LLM Agent with History:** Add the concept of memory so the LLM can draw on conversation context.\n",
+    "- **LLM Agent with History:** Provide the LLM with access to previous steps in the conversation.\n",
-    "- **Knowledge Base:** Create a knowledge base of Stuff You Should Know podcast episodes that we can use as a tool.\n",
+    "- **Knowledge Base:** Create a knowledge base of \"Stuff You Should Know\" podcast episodes, to be accessed through a tool.\n",
-    "- **LLM Agent with Tools:** Extend the agent with access to two tools and test that it uses both to answer questions."
+    "- **LLM Agent with Tools:** Extend the agent with access to multiple tools and test that it uses both to answer questions."
    ]
   },
   {
@@ -81,7 +81,6 @@
     }
    ],
    "source": [
-    "# Imports\n",
     "import os\n",
     "import pinecone\n",
     "import openai\n",
@@ -93,16 +92,15 @@
     "from tqdm.auto import tqdm\n",
     "import datetime\n",
     "\n",
-    "\n",
     "# Langchain imports\n",
     "from langchain.agents import Tool, AgentExecutor, LLMSingleActionAgent, AgentOutputParser\n",
     "from langchain.prompts import BaseChatPromptTemplate, ChatPromptTemplate\n",
     "from langchain import SerpAPIWrapper, LLMChain\n",
     "from langchain.schema import AgentAction, AgentFinish, HumanMessage, SystemMessage\n",
-    "## LLM\n",
+    "# LLM wrapper\n",
     "from langchain.chat_models import ChatOpenAI\n",
     "from langchain import OpenAI\n",
-    "## Langchain memory\n",
+    "# Conversational memory\n",
     "from langchain.memory import ConversationBufferWindowMemory\n",
     "# Embeddings and vectorstore\n",
     "from langchain.embeddings.openai import OpenAIEmbeddings\n",