langchain_md_files/integrations/providers/baai.mdx

# BAAI

>[Beijing Academy of Artificial Intelligence (BAAI) (Wikipedia)](https://en.wikipedia.org/wiki/Beijing_Academy_of_Artificial_Intelligence), 
> also known as `Zhiyuan Institute`, is a Chinese non-profit artificial 
> intelligence (AI) research laboratory. `BAAI` conducts AI research 
> and is dedicated to promoting collaboration among academia and industry, 
> as well as fostering top talent and a focus on long-term research on 
> the fundamentals of AI technology. As a collaborative hub, BAAI's founding 
> members include leading AI companies, universities, and research institutes.


## Embedding Models

### HuggingFaceBgeEmbeddings

>[BGE models on the HuggingFace](https://huggingface.co/BAAI/bge-large-en-v1.5) 
> are one of [the best open-source embedding models](https://huggingface.co/spaces/mteb/leaderboard).

See a [usage example](/docs/integrations/text_embedding/bge_huggingface).

```python
from langchain_community.embeddings import HuggingFaceBgeEmbeddings
```

### IpexLLMBgeEmbeddings

>[IPEX-LLM](https://github.com/intel-analytics/ipex-llm) is a PyTorch 
> library for running LLM on Intel CPU and GPU (e.g., local PC with iGPU, 
> discrete GPU such as Arc, Flex and Max) with very low latency.

See a [usage example running model on Intel CPU](/docs/integrations/text_embedding/ipex_llm).
See a [usage example running model on Intel GPU](/docs/integrations/text_embedding/ipex_llm_gpu).

```python
from langchain_community.embeddings import IpexLLMBgeEmbeddings
```

### QuantizedBgeEmbeddings

See a [usage example](/docs/integrations/text_embedding/itrex).

```python
from langchain_community.embeddings import QuantizedBgeEmbeddings
```