Chatbots#
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.