Langchain-Chatchat and Simple-RAG-Chatbot
One project is a comprehensive RAG and Agent application based on Langchain with various LLMs, while the other is a simpler example demonstrating how to build a basic RAG chatbot with Langchain and Streamlit, making them ecosystem siblings where the simpler project could serve as an educational precursor or simplified component to the more complex application.
About Langchain-Chatchat
chatchat-space/Langchain-Chatchat
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
This project helps individuals create a private, intelligent chat assistant for their own data. You feed it your documents, and it provides conversational answers and insights based solely on that information. It's designed for professionals who need to query their specific knowledge base without sending sensitive data to external services.
About Simple-RAG-Chatbot
Faridghr/Simple-RAG-Chatbot
Build a simple RAG chatbot with LangChain and Streamlit
This tool helps you quickly build a chatbot that can answer questions using your own documents and materials. You provide the text-based information, and the chatbot then delivers precise answers based solely on your uploaded content. This is ideal for anyone needing a specialized Q&A system for internal documents, research papers, or specific knowledge bases.
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