Jellyjoin is a tool designed for performing "soft joins" on dataframes or lists by measuring semantic similarity rather than exact matches. It utilizes OpenAI embedding models for high-quality matches but falls back on traditional string similarity metrics when necessary. Users can customize similarity strategies and visualize associations through simple Pandas DataFrame outputs.