rag-chatbot and Intelligent-Document-Question-Answering-System-Using-Retrieval-Augmented-Generation-RAG-

About rag-chatbot

umbertogriffo/rag-chatbot

RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.

This chatbot helps you get answers from your own collection of Markdown documents, like internal company wikis or project notes. You provide the chatbot with your Markdown files, and it allows you to ask questions in plain language, providing concise answers based only on the information within those documents. It's ideal for anyone who needs to quickly find specific information across a large set of internal documentation.

About Intelligent-Document-Question-Answering-System-Using-Retrieval-Augmented-Generation-RAG-

devpatel0005/Intelligent-Document-Question-Answering-System-Using-Retrieval-Augmented-Generation-RAG-

This repository showcases a simple yet powerful chatbot built using the LangChain framework in a Jupyter Notebook environment. The chatbot leverages modular LangChain components for conversational AI, making it flexible and easy to integrate with various backends or memory stores.