SuperAI Documents

SuperAI Documents is an end-to-end AI-powered assistant designed for intelligent document processing, semantic search, and contextual Q&A.

Built with LangChain, FAISS, and LlamaIndex, the system leverages advanced embedding-based retrieval for efficient document understanding.

Users can interact through an intuitive Streamlit/Gradio-based frontend, where they ask questions and receive context-aware answers generated by LLMs such as Groq or OpenAI.

This project highlights expertise in RAG architectures, vector search, and building scalable document intelligence solutions.

• Implemented Retrieval-Augmented Generation (RAG) for accurate and grounded responses
• Used LangChain with FAISS and HuggingFace embeddings for semantic search
• Integrated Groq and OpenAI APIs for scalable LLM-powered Q&A
• Designed a Streamlit/Gradio UI for interactive chat with documents
• Maintained conversation history for multi-turn contextual queries
• Supported multiple file formats including PDF, DOCX, and TXT
• Optimized performance with vector databases for fast similarity search
• Demonstrated real-world application of AI in knowledge management and document automation

Streamlit GUI

Allows users to interact with Streamlit GUI

Document Upload & Processing

Allows users to upload PDFs, extract text, and generate embeddings for semantic search.

Interactive Q&A

Users can ask natural language questions and receive AI-powered responses derived directly from document context.