chainlit and langchain-chatbot
Chainlit is a frontend framework for deploying conversational AI applications, while langchain-chatbot is a backend implementation using LangChain's retrieval-augmented generation capabilities—making them complements that could be used together, with Chainlit serving as the UI layer for a langchain-chatbot backend.
About chainlit
Chainlit/chainlit
Build Conversational AI in minutes ⚡️
This helps developers quickly build interactive chat interfaces for their AI models. You provide your conversational AI logic in Python, and it automatically generates a user-friendly web application where users can interact with your AI. It's designed for developers who want to bring their AI prototypes to life with a polished front-end.
About langchain-chatbot
GaoQ1/langchain-chatbot
Based on the Langchain framework, a retrieval and generative chatbot. 基于langchain实现的检索式和生成式问答
This project helps you create a custom chatbot that can answer questions based on your own documents and also engage in general conversations. You provide the text content you want the chatbot to learn from, and it outputs conversational responses to user queries. This is ideal for anyone who needs to quickly deploy a Q&A assistant for specific knowledge or to add a general conversational agent to an application.
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