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Is there a way to send a custom parameter to OpenAI Embeddings in n8n for specifying a custom dimension (e.g., 256)?
With the newtext-embedding-3-largemodel from OpenAI, there’s an option to set a custom dimensional parameter (like 256). How can I configure this in n8n’s OpenAI node, or is there a workaround using HTTP Request nodes to achieve this? -
How can I ensure that the Recursive Character Text Splitter in n8n keeps the section title in every chunk?
When using the Recursive Character Text Splitter in the default data loader, I would like each chunk to retain the section title for better context in downstream processing. Is there a setting to achieve this, or would I need a custom solution, like adding a Code node?
Hi @Richard_Me
setting custom dimensions is actually something we have just been working on! Should be released soon ![]()
to answer your 2nd question, this is unfortunately not possible at the moment but definitely something we will be working on! ![]()
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