Initial project setup: structure, README, dependencies

.gitignore

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+# Virtual environment
+venv/
+*.pyc
+__pycache__/
+
+# Secrets
+.env
+
+# Vector DB (locally generated)
+chroma_db/
+
+data/*.pdf
+
+# Jupyter
+.ipynb_checkpoints/
+
+# OS
+.DS_Store

README.md

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+# smart-doc-qa
+
+A RAG-based document Q&A system. Upload any PDF and ask questions in natural language — get accurate, source-grounded answers.
+
+##  Features
+- Upload any PDF document
+- Ask questions in natural language
+- Get answers grounded in document content (no hallucination)
+- Powered by semantic search + LLM
+
+## Tech Stack
+- **LangChain** — RAG orchestration
+- **ChromaDB** — vector database
+- **HuggingFace** — embeddings (sentence-transformers)
+- **Groq** — LLM inference (Llama 3.1)
+- **FastAPI** — REST API (coming soon)
+
+##  Status
+Currently in active development.
+
+##  Setup
+\`\`\`bash
+git clone https://github.com/T0N-M0Y/smart-doc-qa
+cd docu-query
+python -m venv venv
+source venv/bin/activate
+pip install -r requirements.txt
+\`\`\`
+
+## 👤 Author
+**Md. Reja E Rabbi Tonmoy** — ML Engineer
+[LinkedIn](https://www.linkedin.com/in/tonmoy-md-reja-e-rabbi/) • [GitHub](https://github.com/T0N-M0Y)

requirements.txt

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+langchain
+langchain-community
+langchain-groq
+langchain-huggingface
+chromadb
+sentence-transformers
+pypdf
+python-dotenv