AI Podcast Summaries

This application allows you to ask questions about AI technical insights stored from summaries of episodes from some of the leading AI podcasts, including:

• No Priors Podcast
• Training Data (Sequoia)
• The MAD Podcast with Matt Turck
• Unsupervised Learning
• AI Without Borders

The database contains summaries from key episodes over the last 12 months. The system will search these summaries and provide answers with proper citations to the source podcasts.

This is a frontend application derived from a Slack integration done using Arcade. The original system allows users to paste YouTube podcast URLs in a Slack channel, which then extracts the transcript, uses an LLM to generate a technical summary, and stores it in a Weaviate database. Users can query this knowledge base directly within Slack to get answers about the content. This web interface provides an alternative way to access the same database of podcast summaries.

Created by Daniel Porras | View on GitHub