| | --- |
| | inference: false |
| | language: en |
| | license: apache-2.0 |
| | library_name: txtai |
| | tags: |
| | - sentence-similarity |
| | --- |
| | |
| | # Introducing txtai embeddings index |
| |
|
| | 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. |
| |
|
| | txtai must be [installed](https://neuml.github.io/txtai/install/) to use this model. |
| |
|
| | ## Example |
| |
|
| | Version 5.4 added support for loading embeddings indexes from the Hugging Face Hub. See the example below. |
| |
|
| | ```python |
| | 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") |
| | ``` |
| |
|
