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# Chatbots

> Conceptual Guide

Since language models are good at producing text, that makes them ideal for creating chatbots. Aside from the base prompts/LLMs, an important concept to know for Chatbots is `memory`. Most chat based applications rely on remembering what happened in previous interactions, which `memory` is designed to help with.

The following resources exist:

- ChatGPT Clone: A notebook walking through how to recreate a ChatGPT-like experience with LangChain.

- Conversation Memory: A notebook walking through how to use different types of conversational memory.

- Conversation Agent: A notebook walking through how to create an agent optimized for conversation.

Additional related resources include:

- Memory Key Concepts: Explanation of key concepts related to memory.

- Memory Examples: A collection of how-to examples for working with memory.

More end-to-end examples include:

- Voice Assistant: A notebook walking through how to create a voice assistant using LangChain.