Developed AI Chatbot for Podcast Transcript Search & RetrievalDeveloped AI Chatbot for Podcast Transcript Search & Retrieval
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Built a RAG-powered chatbot that lets users query podcast transcript archives. The goal was to make episode content searchable and retrievable without manual browsing. I designed the full pipeline—transcript ingestion, vector embedding via Nomic, semantic search with Supabase pgvector, and LLM response generation via Groq—and deployed it as a live web app. Users can now ask questions across multiple episodes and get answers grounded in actual transcript content with episode citations. Tech Stack: Node.js, Express.js, Supabase (pgvector), Nomic Embed v1.5, Groq LLM, Vanilla HTML/CSS/JS
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The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started