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Introducing txtai embeddings index

This is a txtai embeddings index from the Introducing txtai example notebook.

txtai must be installed to use this model.


Version 5.4 added support for loading embeddings indexes from the Hugging Face Hub. See the example below.

from txtai.embeddings import Embeddings

# Load the index from the HF Hub
embeddings = Embeddings()
embeddings.load(provider="huggingface-hub", container="neuml/txtai-intro")

# Run a search
embeddings.search("Tell me a feel good story")
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