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OpenAI-powered semantic search for the All-In Podcast

Show HN: OpenAI-powered semantic search for the All-In Podcast

OpenAI-powered semantic search for the All-In Podcast is active in the show hn launch space.

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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.Open source here: https://github.com/transitive-bullshit/yt-semantic-searchNote that the source is designed to work with any YouTube playlist / channel. I'm just using the All-In Podcast as a demo because it's my favor

The company sits in the show hn launch segment, where it competes on its core product or service.

Its current recorded stage is Show HN launch.

SectorShow HN launch
StageShow HN launch

Website: all-in-on-ai.vercel.app

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