Chatbot-with-RAG-and-LangChain and Simple-RAG-Chatbot
These are ecosystem siblings—both implement RAG chatbots using the same foundational stack (LangChain for orchestration and retrieval augmentation), with the second adding Streamlit for UI while the first focuses on core RAG architecture, making them variations of a common pattern rather than competing or dependent tools.
About Chatbot-with-RAG-and-LangChain
ThomasJanssen-tech/Chatbot-with-RAG-and-LangChain
Build a Chatbot which uses Retrieval Augmented Generation (RAG) to answer based on your own data!
This project helps software developers build a custom chatbot that can answer questions using their own specific documents or data. You provide your documents, and the project generates a chatbot capable of retrieving information from those sources to provide relevant answers. This is for developers looking to create tailored Q&A systems.
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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