---
inference: false
language: en
license: apache-2.0
library_name: txtai
tags:
- sentence-similarity
datasets:
- NeuML/neuml-linkedin-202501
---

# NeuML LinkedIn Company Posts txtai embeddings index

This is a [txtai](https://github.com/neuml/txtai) embeddings index for the [NeuML LinkedIn Company Posts](https://hf.co/datasets/neuml/neuml-linkedin-202501) dataset.

txtai must be [installed](https://neuml.github.io/txtai/install/) to use this model.

## Example

This index can be loaded from the Hugging Face Hub with txtai as shown below.

```python
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](https://www.linkedin.com/company/neuml). 

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](https://neuml.hashnode.dev/analyzing-linkedin-company-posts-with-graphs-and-agents).