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docs[patch]: Update QA use-case docs how tos #5457

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May 18, 2024
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docs[patch]: Update QA use-case docs how tos #5457

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2 changes: 1 addition & 1 deletion docs/core_docs/docs/how_to/agent_executor.ipynb
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Expand Up @@ -22,7 +22,7 @@
"In this tutorial we will build an agent that can interact with multiple different tools: one being a local database, the other being a search engine. You will be able to ask this agent questions, watch it call tools, and have conversations with it.\n",
"\n",
":::{.callout-important}\n",
"This section will cover building with LangChain Agents. LangChain Agents are fine for getting started, but past a certain point you will likely want flexibility and control that they do not offer. For working with more advanced agents, we'd recommend checking out [LangGraph](/docs/concepts/#langgraph)\n",
"This section will cover building with LangChain Agents. LangChain Agents are fine for getting started, but past a certain point you will likely want flexibility and control that they do not offer. For working with more advanced agents, we'd recommend checking out [LangGraph](/docs/concepts/#langgraph).\n",
":::\n",
"\n",
"## Concepts\n",
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24 changes: 15 additions & 9 deletions docs/core_docs/docs/how_to/chatbots_memory.ipynb
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Expand Up @@ -6,6 +6,14 @@
"source": [
"# How to manage memory\n",
"\n",
":::info Prerequisites\n",
"\n",
"This guide assumes familiarity with the following:\n",
"\n",
"- [Chatbots](/docs/tutorials/chatbot)\n",
"\n",
":::\n",
"\n",
"A key feature of chatbots is their ability to use content of previous conversation turns as context. This state management can take several forms, including:\n",
"\n",
"- Simply stuffing previous messages into a chat model prompt.\n",
Expand All @@ -23,14 +31,6 @@
"\n",
"You’ll need to install a few packages, and set any LLM API keys:\n",
"\n",
"```{=mdx}\n",
"import Npm2Yarn from \"@theme/Npm2Yarn\";\n",
"\n",
"<Npm2Yarn>\n",
" @langchain/core\n",
"</Npm2Yarn>\n",
"```\n",
"\n",
"Let’s also set up a chat model that we’ll use for the below examples:\n",
"\n",
"```{=mdx}\n",
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"cell_type": "markdown",
"metadata": {},
"source": [
"Note that invoking the chain again will generate another summary generated from the initial summary plus new messages and so on. You could also design a hybrid approach where a certain number of messages are retained in chat history while others are summarized."
"Note that invoking the chain again will generate another summary generated from the initial summary plus new messages and so on. You could also design a hybrid approach where a certain number of messages are retained in chat history while others are summarized.\n",
"\n",
"## Next steps\n",
"\n",
"You've now learned how to manage memory in your chatbots\n",
"\n",
"Next, check out some of the other guides in this section, such as [how to add retrieval to your chatbot](/docs/how_to/chatbots_retrieval)."
]
}
],
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