Description given in the README

In this project I have built an advanced RAG Q&A chatbot with chain and retrievers using Langchain

In this end to end project I have built a RAG app using ObjectBox Vector Databse and LangChain. With Objectbox you can do OnDevice AI, without the data ever needing to leave the device.

Repo for DermAssist: Your AI Assitant for Skin Problems. Powered by a vision model and a reliable RAG system.

In this project I have built an end to end advanced RAG project using open source llm model, Mistral using groq inferencing engine.

A RAG Model ChatBot for jamia Millia Islamia

Click below to visit my website

The project involves developing a chatbot to enhance learning by answering common FAQs and providing hints within the scope of each sprint. Below is the deployed link demonstrating frontend and node backend. Flask app is not deployed due to size issue, please run locally and use google api key to check the functionality of our RAG based chatbot

ChatPDF leverages Retrieval Augmented Generation (RAG) to let users chat with their PDF documents using natural language. Simply upload a PDF, and interactively query its content with ease. Perfect for extracting information, summarizing text, and enhancing document accessibility.

A ChatBot designed to assist WhatsAgenda customers in configuring their calendar. This tool streamlines the setup of scheduling, managing appointments, and customizing service hours, ensuring an efficient and user-friendly experience.

Analysis Agent on Llamaindex Typescript with a simple caching mechanism

EquiInsight is a specialised user-friendly platform made for investors, analysts, and financial professionals who specialise in equity markets. It is intended to make information retrieval simple. To get pertinent insights from the stock market and financial sphere, users can ask queries and input the URLs of articles.

Retrieval-Augmented Generation on YouTube transcripts and PDFs to deliver accurate and contextual answers.

A Streamlit-based chatbot application utilizing Groq API and Langchain for conversational AI.

Upload documents 📄 and get instant, accurate answers to your questions with InstaDoc: Intelligent QnA Powered by RAG. Enjoy quick summaries 📜 and precise Q&A, all through an intuitive interface. InstaDoc leverages advanced technologies 🚀 to help you understand your documents better and faster, making document analysis efficient and user-friendly

Implement RAG using LangChain and HuggingFace embedding models