Embeddings databases for txtai
Collection
Add knowledge to your txtai agents and processes.
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NeuML LinkedIn Company Posts txtai embeddings index
This is a txtai embeddings index for the NeuML LinkedIn Company Posts dataset.
txtai must be installed to use this model.
Example
This index can be loaded from the Hugging Face Hub with txtai as shown below.
from txtai import Embeddings
# Load the index from the HF Hub
embeddings = Embeddings()
embeddings.load(provider="huggingface-hub", container="neuml/txtai-neuml-linkedin")
# Search for posts discussing txtai
embeddings.search("txtai")
Use Cases
NeuML LinkedIn Company Posts is an exploratory dataset to analyze the most engaging topics discussed on NeuML's LinkedIn company page.
An embeddings index generated by txtai is a fully encapsulated index format. It doesn't require a database server or dependencies outside of the Python install.
More information
Read more about this model and how it was built in this article.
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The model authors have turned it off explicitly.