A powerful web-based application designed to answer questions based on the content of uploaded PDF documents. This project leverages the **Fusion-in-Decoder (FiD)** approach for **Retrieval-Augmented Generation (RAG)**, combining semantic similarity, technical term relevance, and recency to deliver accurate and contextually relevant responses
scikit-learn chroma pypdf tf-idf-vectorizer tf-idf-score rag streamlit vector-database langchain chromadb ollama rag-chatbot langchain-ollama qwen2-5 fusion-rag
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Updated
Jul 26, 2025 - Python