Databricks Embeddings

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

%pip install llama-index
%pip install llama-index-embeddings-databricks

import os
from llama_index.core import Settings
from llama_index.embeddings.databricks import DatabricksEmbedding

# Set up the DatabricksEmbedding class with the required model, API key and serving endpoint
os.environ["DATABRICKS_TOKEN"] = "<MY TOKEN>"
os.environ["DATABRICKS_SERVING_ENDPOINT"] = "<MY ENDPOINT>"
embed_model = DatabricksEmbedding(model="databricks-bge-large-en")
Settings.embed_model = embed_model

# Embed some text
embeddings = embed_model.get_text_embedding(
    "The DatabricksEmbedding integration works great."
)