RAG-Chatbot and Simple-RAG-Chatbot
These are **complements** — the first uses Databutton as a deployment/hosting platform while the second uses Streamlit as the UI framework, allowing developers to choose their preferred frontend tooling while both implement RAG pipelines with LangChain.
About RAG-Chatbot
avrabyt/RAG-Chatbot
RAG enabled Chatbots using LangChain and Databutton
This tool helps you quickly get answers from large PDF documents without manually searching through pages. You provide one or more PDF files, and the tool processes them to create a conversational interface. Anyone who needs to extract specific information or answers from extensive document collections, like researchers, analysts, or students, would find this valuable.
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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