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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-large
model 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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