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[BUG] The OpenAI Embedding Node for LamaIndex does not work for 3072 vector dimension
The OpenAI Embedding Node for LamaIndex is fixed at vector dimension 1536, independently if you select the text-embedding-3-large model which is 3072.
This produces a error message and it does not index any data at Pinecone.
The node works for text-embedding-ada-002 / 1536 as expected.
Version 1.6.0
I dont think we hard-coded 1536, its undefined and we let the OpenAI SDK to figure out what dimension to use depending on the model.
Same problem, but with Qdrant (local) instead of Pincone.