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.

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

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.

Multimodal Document Processing RAG with 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.

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A RAG Model ChatBot for jamia Millia Islamia

Conversational RAG with PDF and chat history

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

Document Based Question Answering System Using LangChain and LLMs

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.