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Here we create embeddings for YouTube transcripts, load them in a vector database, then create a data artifact.

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Here we create embeddings for YouTube transcripts, load them in a vector database, then create a data artifact.

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  • Jupyter Notebook 95.4%
  • Python 4.6%