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
- 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
- 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.”
- Multi-file document support
- Support for local LLMs (e.g., Llama, Mistral)
- Multi-language summarization & Q&A
- Export answers and summaries as PDF
- DocuMind – “Ask. Understand. Summarize.” -Because your documents should talk back to you.
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.
- B.Sc (Hons) in Data Science & Artificial Intelligence - IIT Guwahati
- B.E/B.Tech in Mechanical Engineering - GEC Gandhinagar
- 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
- Multiple AI/ML projects across NLP, CV, IoT, and Generative AI, with 6–7 portfolio projects
- Portfolio: neural-portfolio-galaxy.vercel.app
- GitHub: github.com/rikin-2911
- LinkedIn: linkedin.com/in/rikin-pithadia-20b94729b
- Email: rikinpithadia2911@gmail.com
💡 "I believe in creating AI systems that are not just powerful, but also accessible and impactful for everyone."