Marengo 3.5 embedding_dimension option adds 128, 256 and 512 dimensions

Choose how many dimensions Marengo 3.5 uses for each embedding by setting the embedding_dimension parameter to 128, 256, or 512. The default is 512, so existing integrations are unaffected. Use the same value across an index.

A shorter embedding consists of the first values of the full-length embedding. Shorter embeddings reduce the size of your index and speed up similarity search; longer embeddings improve retrieval quality.

To use this feature, upgrade to the latest version of the Python or Node.js SDK:

Python SDK

pip install --upgrade twelvelabs

Node.js SDK

npm install twelvelabs-js@latest

For details, see the Create sync embeddings and Create an async embedding task pages in the API Reference section, or the SDK reference for Python and Node.js.