Model reference · open weights

txtai-intro

Embeddings NeuML Embeddings 1 build Open weights 793 dl/mo

txtai-intro is an open-weight embedding model from NeuML.

  • txtai-intro is a sentence-similarity model developed by NeuML and published as NeuML/txtai-intro.
  • It supports the English language and is licensed under the apache-2.0 license.
  • The model requires the txtai library to be installed for use and is designed to load embeddings indexes from the Hugging Face Hub.

Summary of the NeuML/txtai-intro model card, 2026-10-01

What it is

Released byNeuML
Released2023-02-20

From the model card

What NeuML says about txtai-intro

Read the model card

txtai must be installed to use this model.

Example

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")

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

How it works

How embedding models work

Your textsentence / documentEncodermaps meaningVectorlist of numbersAn embedding model turns text into a vector, so similar meanings sit close together, which is the basis of search and RAG.
© 2026 AxForge · EU-hosted AI infrastructure Pricing Docs Trust Privacy Terms