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Hello everyone! I am a bit confused about how embeddings work in n8n/supabase. I want to save an item in my supabase database as an embedding. The item to be stored is a message from a user that is sent via whatsapp. It does not look like this is possible, when I select the vectore store, I am being asked to provide some kind of a loader. I don't want to use a loader. The input should be from the text message received. Do I have to use an api call? Can someone share a basic example of possible?

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Hi Everyone, It would like to create a personal assistant who will answer my questions via WhatsApp and also use tools to save my questions and answers in a database. I want to make a Quantified Self tool that I can talk to about my metrics, and it will update them. So, let's say I saved a profile of myself with my age and weight, for example. I can tell it I am going to the gym, and I can say I lost weight and now weigh X. I want it to think, fetch my profile, update my weight, and give me some feedback based on our prior conversations or weekly/monthly summaries of things I have logged. Or, I can say, "I feel like X today." It can fetch my profile, see a trend, advise me, and log how I felt that day in a database. Am I asking too much? How can I do this? I am currently using Supabase, but I do not know how to make a tool to fetch my profile and provide Openai and Think the means to provide contextual feedback on my log.

I have been learning autonomations (n8n, zapier) and i have no idea how to monetize it. Can someone tell me what to do in my place? I am trying to learn from the best so every advise will help.