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Co-authored-by: jacoblee93 <jacoblee93@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
19 lines
1.2 KiB
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19 lines
1.2 KiB
Plaintext
# Chatbots
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Since language models are good at producing text, that makes them ideal for creating chatbots.
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Aside from the base prompts/LLMs, an important concept to know for Chatbots is `memory`.
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Most chat based applications rely on remembering what happened in previous interactions, which `memory` is designed to help with.
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The following resources exist:
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- [ChatGPT Clone](/docs/modules/agents/how_to/chatgpt_clone.html): A notebook walking through how to recreate a ChatGPT-like experience with LangChain.
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- [Conversation Memory](/docs/modules/memory.html): A notebook walking through how to use different types of conversational memory.
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- [Conversation Agent](/docs/modules/agents/agent_types/conversational_agent.html): A notebook walking through how to create an agent optimized for conversation.
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Additional related resources include:
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- [Memory Key Concepts](/docs/modules/memory.html): Explanation of key concepts related to memory.
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- [Memory Examples](/docs/modules/memory/how_to_guides.html): A collection of how-to examples for working with memory.
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More end-to-end examples include:
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- [Voice Assistant](./voice_assistant.html): A notebook walking through how to create a voice assistant using LangChain.
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