Semantic Literature Explorer

A vector-database-backed research instrument for exploring LLM system architectures through semantic retrieval.

Features

How it works

  1. Upload a research paper (PDF)
  2. AI generates a summary of the paper
  3. Review the summary and decide whether to add it
  4. If confirmed, text is split into semantic chunks
  5. Chunks are embedded using OpenAI and stored in Supabase