Vectorize
Transform data into high-dimensional vector representations using the latest embedding techniques, enabling complex similarity calculations and semantic search capabilities.
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Learn More about Vectorizing on Weaviate (opens in a new tab)
Input Parameters
- Input Texts: Define which texts to be vectorized
- Embedding Model Name: Choose a text-embedding model from your activated models
Expected Output
Variable containing text vectors embedded by the chosen model
Example Use Case
In this example, after performing chunking on a series of documents, these chunks were saved to a JavaScript variable called "texts" whuch the vectorize node take in and vectorizes these chunks using OpenAI's ADA-002 model.
