metadata
title: AI NoteBook Assistant (RAG)
emoji: 📘
colorFrom: indigo
colorTo: yellow
sdk: docker
app_file: app.main
pinned: false
🧠 AI NoteBook Assistant (RAG)
An AI-powered RAG-based Notes Assistant that helps you:
- 📂 Upload notes and textbooks (PDF)
- 🧠 Retrieve context using FAISS Vector Search
- 💬 Ask questions — get step-by-step, real-world explanations
- ⚙️ Built with FastAPI, Groq LLM, and Sentence Transformers
⚙️ Tech Stack
- Backend: FastAPI + Groq API + FAISS
- Embeddings: Sentence Transformers (
all-MiniLM-L6-v2) - Frontend: HTML / CSS / JS (static interface)
- Deployed On: Hugging Face Spaces 🚀
🧩 Workflow
1️⃣ Upload your notes → chunks are embedded
2️⃣ Embeddings stored in FAISS vector DB
3️⃣ When you ask a question → relevant chunks retrieved
4️⃣ Groq LLM (GPT OSS 20B) generates rich, example-driven answers
🔗 Live Space: https://huggingface.co/spaces/gvadxx/AI-NoteBook-Assistant-RAG
👨💻 Author: Padmasali Govardhan