Hi All,
I’m using the hosted n8n and I’ve linked it to supabase.
I have a google gemini embedding and a default data loader (type of data binary), mode(load all input data), data format(text)
I have a recursive character text splitter connected.
I’ve run the required sql, so my tables are fine in supabase.
I start a chat that includes a file (feedinging into the supabase vector store) but all I get is this error message:
Error inserting: vector must have at least 1 dimension 400 Bad Request
when I go to the supabase vector store I see this input:
{
"data0": {
"data": "VGhp......"
"mimeType": "text/plain",
"fileName": "filename.txt",
"fileSize": "12335 bytes",
"fileExtension": "txt",
"fileType": "text"
}
}
the output is then formatted as json (it looks correct)
The one thing that does look strange is the embeddings - the input is correct but the output is :
{
"response": [
[],
[],
[],
[],
[],
[],
[],
[],
[],
[],
[],
[],
[]
]
}
any ideas what would cause this?
I'm in europe so I cant use the chat gpt embedding
thanks,
Paul.