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OpenAI-powered semantic search for the All-In Podcast

• transitivebs 4y ago
  My favorite podcast is the All-In Pod, but search and discovery is tough for podcasts. So I built a semantic search index that lets you search across every episode of the pod with Google-level accuracy. It uses OpenAI's latest ada-2 embedding model and Pinecone to index the embeddings + k-NN search. Wrapped up in a Next.js + Vercel webapp. The project is designed to work with any YouTube channel / playlist. I'm just using All-In as a demo. Would love to hear feedback & suggestions.
• jamesbriggs 4y ago
  Very cool, how are you doing the speech-to-text part, with Whisper?
  • gbertb 4y ago
    The about page explains it. Used a "hacky" method in retrieving the YT transcripts.
• gbertb 4y ago
  Great job! Love this. What other improvements besides using whisper did you have in mind?
  • transitivebs 4y ago
    Honestly I haven't thought too much about it. Just having fun building :)