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examples/Conversational_agents_using_tools.ipynb
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@ -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",
"- **Knowledge Base:** Create a knowledge base of Stuff You Should Know podcast episodes that we can use as 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 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, to be accessed through a tool.\n",
"- **LLM Agent with Tools:** Extend the agent with access to multiple tools and test that it uses both to answer questions."
]
},
{
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}
],
"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",