AI-Powered Data Retrieval
Lightwood Embedding Model
This tutorial uses the Lightwood handler to create an embedding model.
Tutorial
The following example shows how to create an embedding model using the Lightwood engine.
Start by creating an engine from the Lightwood handler.
Verify that the engine has been created successfully.
Connect our sample database to use it for training the model:
Create a model using this engine:
Check the status of the model.
Now you can use the model to predict home rental prices for specific criteria and get predictions in the form of embeddings.
Here is the output:
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