I want to create a Connectors marketplaces between vectorized database like MongoDB and some complicated data querying platforms like Redpanda or Confluent. So I first trained my data and used server-less encoder to do RAG, and then in order to create a better environment node deployment processes to make any event faster. Based on this, the front end is wanting to create the marketplace assistant out and it is gong to be web application where people can find the API created uniquely and go ahead and deploy their own stuff. This idea comes into the difficulties I was running into when building RAG and trying to train my own LLM to do vertical or horizontal training and searching to anti-deepfakes.