The [Memory](https://python.langchain.com/docs/modules/memory/) menu is
clogged with unnecessary wording.
I've made it more concise by simplifying titles of the example
notebooks.
As results, menu is shorter and better for comprehend.
"This notebook goes over how to use the Memory class with an LLMChain. For the purposes of this walkthrough, we will add the [ConversationBufferMemory](https://api.python.langchain.com/en/latest/memory/langchain.memory.buffer.ConversationBufferMemory.html#langchain.memory.buffer.ConversationBufferMemory) class, although this can be any memory class."
"This notebook goes over how to use the Memory class with an LLMChain. \n",
"\n",
"We will add the [ConversationBufferMemory](https://api.python.langchain.com/en/latest/memory/langchain.memory.buffer.ConversationBufferMemory.html#langchain.memory.buffer.ConversationBufferMemory) class, although this can be any memory class."
"Most memory objects assume a single input. In this notebook, we go over how to add memory to a chain that has multiple inputs. As an example of such a chain, we will add memory to a question/answering chain. This chain takes as inputs both related documents and a user question."
"Most memory objects assume a single input. In this notebook, we go over how to add memory to a chain that has multiple inputs. We will add memory to a question/answering chain. This chain takes as inputs both related documents and a user question."
"This notebook goes over adding memory to an Agent. Before going through this notebook, please walkthrough the following notebooks, as this will build on top of both of them:\n",
"\n",
"- [Adding memory to an LLM Chain](/docs/modules/memory/how_to/adding_memory.html)\n",
"- [Memory in LLMChain](/docs/modules/memory/how_to/adding_memory.html)\n",
"# Adding Message Memory backed by a database to an Agent\n",
"# Message Memory in Agent backed by a database\n",
"\n",
"This notebook goes over adding memory to an Agent where the memory uses an external message store. Before going through this notebook, please walkthrough the following notebooks, as this will build on top of both of them:\n",
"\n",
"- [Adding memory to an LLM Chain](/docs/modules/memory/how_to/adding_memory.html)\n",
"- [Memory in LLMChain](/docs/modules/memory/how_to/adding_memory.html)\n",
"Although there are a few predefined types of memory in LangChain, it is highly possible you will want to add your own type of memory that is optimal for your application. This notebook covers how to do that."
"# How to use multiple memory classes in the same chain\n",
"It is also possible to use multiple memory classes in the same chain. To combine multiple memory classes, we can initialize the `CombinedMemory` class, and then use that."
"# Multiple Memory classes\n",
"\n",
"We can use multiple memory classes in the same chain. To combine multiple memory classes, we initialize and use the `CombinedMemory` class."