Netmind AI Embeddings¶

This notebook shows how to use Netmind AI for embeddings.

Visit https://www.netmind.ai/ and sign up to get an API key.

Setup¶

If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.

In [ ]:

%pip install llama-index-embeddings-netmind

%pip install llama-index-embeddings-netmind

In [ ]:

!pip install llama-index

!pip install llama-index

In [ ]:

# You can set the API key in the embeddings or env
# import os
# os.environ["NETMIND_API_KEY"] = "your-api-key"

from llama_index.embeddings.netmind import NetmindEmbedding

embed_model = NetmindEmbedding(
    model_name="BAAI/bge-m3", api_key="your-api-key"
)

# You can set the API key in the embeddings or env # import os # os.environ["NETMIND_API_KEY"] = "your-api-key" from llama_index.embeddings.netmind import NetmindEmbedding embed_model = NetmindEmbedding( model_name="BAAI/bge-m3", api_key="your-api-key" )

Get Embeddings¶

In [ ]:

embeddings = embed_model.get_text_embedding("hello world")

embeddings = embed_model.get_text_embedding("hello world")

In [ ]:

print(len(embeddings))

print(len(embeddings))

1024

In [ ]:

print(embeddings[:5])

print(embeddings[:5])

[-0.04039396345615387, 0.03703497350215912, -0.02897450141608715, 0.016117244958877563, -0.03569157049059868]