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Learn to develop a semantic search application for music discovery in this 26-minute tutorial that demonstrates how to leverage Qdrant Cloud and its Python SDK. Build a system from the ground up that enables semantic searching across thousands of songs spanning multiple genres. Follow along with the provided GitHub repository to implement vector similarity search, create embeddings from audio data, and set up a fully functional music search application. Master the fundamentals of vector databases while working with real-world audio data and discover how to integrate Qdrant Cloud's powerful search capabilities into your own applications.
