SUMMARY AI summary by gpt-5-mini
pdf-rag-chatbot is a Retrieval-Augmented Generation (RAG) app that lets you upload PDFs and query them in natural language. It’s aimed at developers, researchers, students, or anyone who needs to search and extract grounded answers from document collections (built as an MSc CS portfolio project). Key features: - Upload multiple PDFs and query across them - Semantic search using sentence-transformers (all-MiniLM-L6-v2) with chunking (500 tokens, 50 overlap) - Vector storage with ChromaDB and LangChain orchestration - Embeddings via HuggingFace; PDF parsing with PyPDFLoader - Choice of LLM backend: Ollama (local) or Claude API (Anthropic) - Source citations for answers and persistent in-session chat history - Streamlit UI and simple local setup (pip install, streamlit run app.py)
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Owner
MSc CS student diving into ML, AI & data science 🤖 Building things, breaking things, learning from both. Open to internships.
Dates
| Created on GitHub | 2026-05-15 |
| Last push | 2026-05-16 |
| First seen here | 2026-05-15 |
| Last fetched | 2026-05-16 18:16 |
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