This app demonstrates direct Superlinked vector search for AI research papers.
Search uses semantic similarity combined with publication recency, with adjustable query-time weights.
Enter any research topic and get relevant papers ranked by both content similarity and recency.
🚀 Welcome to Superlinked Search!
Step 1: Select how many papers to load (10-100)
Step 2: Click "Initialize Agent" to build the vector index
Step 3: Search for papers using semantic similarity + recency!