Storing Audio and Metadata Embeddings to Vector Database
Explore how to set up a persistent Chroma client and create collections for metadata and audio embeddings. Learn to add song details and embeddings to these collections, enabling effective storage for similarity-based music recommendations.
We’ll use Chroma DB to store our embeddings. Let’s jump right in.
Create a chroma client
First, we import chromadb and initialize a persistent Chroma client. This setup ensures that the database is saved and loaded on our local machine, with data being automatically persisted and reloaded upon startup if it exists.
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