📄 RAG Document Q&A Assistant
Upload a document (PDF or TXT), choose a chunking strategy, and ask questions!
How it works:
- Your document is split into chunks using the selected strategy
- Chunks are embedded using Sentence Transformers (all-MiniLM-L6-v2)
- When you ask a question, relevant chunks are retrieved using semantic search
- GPT-4o-mini generates an answer based on the retrieved context
📤 Step 1: Upload Document
Chunking Strategy
💬 Step 2: Ask Questions
📚 References:
- RAG Original Paper (Lewis et al., 2020)
- RAG Survey (Gao et al., 2023)
- Chunking Strategies for RAG (Merola & Singh, 2025)
Built as part of an AI/ML Engineering portfolio project.