DeepRag is a Streamlit app that lets you chat with your PDF documents using advanced RAG techniques. Upload any PDF and ask questions to get concise, accurate answers extracted directly from the document content.
- Advanced RAG Pipeline with hybrid search, multi-vector retrieval, and LLM re-ranking
- Private & Local processing using Ollama for language models
- Source Citations showing exactly which document passages were used
- Dark-themed UI with intuitive chat interface
- Install Ollama from ollama.com
- Pull the model:
ollama pull deepseek-r1:1.5b - Install dependencies:
pip install -r requirements.txt - Run the app:
streamlit run app.py
DeepRag creates multiple representations of your document (original text, summaries, entities), indexes them using both keyword and semantic search, and employs an LLM to re-rank and synthesize the most relevant information when answering your questions.
Built with Python, Streamlit, LangChain, and Ollama.