I followed Nate's advice in terms of setting up a Supabase RAG database and I have a question related to how to make that work in my use case. I am an executive coach and I have around 25 clients with an average two 60-90 minute meetings a month. I get transcripts for all of those calls through Zoom and also through Otter. I'm also getting summaries and next step items from other AI assistants. My goal is to load each individual historic and new transcript into a new google doc using Title to distinguish the client. That doc gets pushed into Supabase RAG database. Before a meeting with a client, I ask a question in my chatbot before a client meeting to review most recent challenges, actions, plus anything else I should be aware of or recall. My question related to Supabase is this. Can I do what I've defined above or should I be setting up subcategories or tags specific to that client such that client A always goes into the client A database, client B goes to the client B database etc? Or is even asking this an irrelevant question at this point? I want to ensure it's not pulling in conversational data from other clients. I’m trying to make sure I have the best approach to set this up now instead of just starting to add transcripts. I have almost 10 years of transcripts, so I want to get right. Let me know if you have any advice. Thank you.

Hi, everyone. Today, after a long time, I got started on a new project and wanted to create a new project in Supabase with Postgres. I set up the entire workflow in n8n and wanted to start creating new Credentials, but I got confused. Now Supabase has a new UI or configuration for connecting with n8n. Essentially, I can no longer find all the necessary parameters to connect the Supabase Vectorstore/Postgres Chat memory with n8n workflow. Maybe someone has already done this and knows what needs to be entered and where? Or could someone create a short tutorial? Thanks in advance.