📄 Medical Literature RAG
Upload a research paper (PDF or TXT) → the system chunks and embeds it → then ask natural language questions and get AI-generated answers grounded in the paper with citations.
📤 Upload a Research Paper
Upload a PDF or TXT file. The text will be chunked, embedded, and stored for querying.
🏗️ How This Works
- PDF text extracted client-side via pdf.js
- Text chunked into ~800 char overlapping segments
- Each chunk embedded with Gemini's
text-embedding-004 - Query embedded → cosine similarity → top-5 chunks retrieved
- Gemini generates answer grounded in retrieved context