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--- |
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inference: false |
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language: en |
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license: apache-2.0 |
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library_name: txtai |
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tags: |
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- sentence-similarity |
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--- |
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# Introducing txtai embeddings index |
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This is a [txtai](https://github.com/neuml/txtai) embeddings index from the [Introducing txtai](https://colab.research.google.com/github/neuml/txtai/blob/master/examples/01_Introducing_txtai.ipynb) example notebook. |
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txtai must be [installed](https://neuml.github.io/txtai/install/) to use this model. |
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## Example |
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Version 5.4 added support for loading embeddings indexes from the Hugging Face Hub. See the example below. |
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```python |
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from txtai.embeddings import Embeddings |
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# Load the index from the HF Hub |
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embeddings = Embeddings() |
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embeddings.load(provider="huggingface-hub", container="neuml/txtai-intro") |
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# Run a search |
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embeddings.search("Tell me a feel good story") |
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``` |
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