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An intelligent Retrieval-Augmented Generation (RAG) application that makes interacting with documents smarter and more efficient.

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📄🤖 DocuMind – "Ask. Understand. Summarize."

LangChain FAISS OpenAI Streamlit Python Prompt Engineering Information Retrieval Chunking Vector Search


🚀 Overview

DocuMind is an advanced Retrieval-Augmented Generation (RAG) application designed to make working with documents smarter, faster, and more interactive.

With DocuMind, you can:

  • 🔍 Ask questions directly from your uploaded documents
  • 🧠 Understand complex context using intelligent retrieval
  • Summarize lengthy files into concise, actionable insights

🛠️ Tech Stack & Features

  • LangChain – for LLM orchestration and chain building
  • FAISS Vector Store – high-performance semantic search
  • OpenAI LLMs & Embeddings – for deep semantic understanding
  • Prompt Engineering – well-structured prompt templates
  • JSON-based Prompt Format – for flexible, reusable task definitions
  • Document Chunking – split large documents for efficient processing
  • Information Retrieval – accurate, context-rich answers
  • Streamlit – intuitive and interactive user interface

⚡ Workflow

  • 1.Upload Document (PDF, TXT, etc.)
  • 2.Chunking & Embeddings – document is split and converted into vector embeddings
  • 3.FAISS Search – retrieve the most relevant chunks based on user query
  • 4.LLM Response Generation – context is passed to OpenAI LLM via LangChain
  • 5.Display Results – answers or summaries rendered in Streamlit UI

NOTE: “This project is currently designed to run locally due to API usage constraints. Users can provide their own OpenAI API key to execute it.”


🌟 Future Improvements

  • Multi-file document support
  • Support for local LLMs (e.g., Llama, Mistral)
  • Multi-language summarization & Q&A
  • Export answers and summaries as PDF

✨ Tagline

  • DocuMind – “Ask. Understand. Summarize.” -Because your documents should talk back to you.

👨‍💻 About Me

Hello! I’m Rikin Pithadia – a passionate Data Science and Artificial Intelligence enthusiast, blending a strong academic foundation with a hands-on approach to solving real-world problems using AI.

I specialize in Machine Learning, Generative AI, NLP, Computer Vision, and AI-powered application development, with a keen interest in building intelligent systems that are both innovative and practical.


🎓 Education

  • B.Sc (Hons) in Data Science & Artificial Intelligence - IIT Guwahati
  • B.E/B.Tech in Mechanical Engineering - GEC Gandhinagar

💼 Skills & Expertise

  • AI & ML: Machine Learning, Deep Learning, Generative AI, NLP, Computer Vision
  • Tools & Frameworks: PyTorch, TensorFlow/Keras, LangChain, FAISS, Hugging Face, OpenAI API
  • Big Data & Processing: Apache Spark, Kafka, Data Mining, Graph Mining
  • Application Development: Streamlit, Flask, FastAPI, Full-Stack AI Applications
  • Other Interests: Data Warehousing, Page Ranking Algorithms, IoT-based AI systems

🏆 AI/ML Works

  • Multiple AI/ML projects across NLP, CV, IoT, and Generative AI, with 6–7 portfolio projects

📬 Contact


💡 "I believe in creating AI systems that are not just powerful, but also accessible and impactful for everyone."

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An intelligent Retrieval-Augmented Generation (RAG) application that makes interacting with documents smarter and more efficient.

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