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This project leverages Vision Transformers (ViT) to build a scalable image retrieval system. Images are encoded into compact vectors and stored in MongoDB for efficient querying. Advanced indexing techniques like Product Quantization (PQ) and HNSW graph optimize retrieval for speed and memory. A Streamlit-based web app allows users to upload images

  • Updated Jan 9, 2025
  • Python

DocuChat-AI is an AI-powered document interaction assistant that transforms static PDFs into conversational partners. It leverages Retrieval-Augmented Generation (RAG), history-aware memory, and advanced NLP to enable natural language Q&A, contextual dialogue, and secure local document processing.

  • Updated Feb 1, 2025
  • Python

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