> It's especially powerful coupled with the ease of use of the supabase platform
Just as you said, I followed their Clippy tutorial (which utilizes pgvector and OpenAI embedding) and was able to spin up a document-based chatbot quickly. In my specific use case, I stored portions of my knowledge base as embeddings in a normal Postgres table. The next step would be to implement a Row-Level Security for extra security (in case I screwed up somewhere). Thankfully, all my data and auth info are integrated with Supabase, so it's straightforward to do.
Just as you said, I followed their Clippy tutorial (which utilizes pgvector and OpenAI embedding) and was able to spin up a document-based chatbot quickly. In my specific use case, I stored portions of my knowledge base as embeddings in a normal Postgres table. The next step would be to implement a Row-Level Security for extra security (in case I screwed up somewhere). Thankfully, all my data and auth info are integrated with Supabase, so it's straightforward to do.