RAG-powered AI voice customer support agent (Supabase + Gemini + ElevenLabs)

Execution video: [Youtube Link](https://youtu.be/GGvJBnIZQsY?si=y-SPWiy8EFo473s)

I built an AI voice-triggered RAG assistant where ElevenLabs’ conversational model acts as the front end and n8n handles the brain....here’s the real breakdown of what’s happening in that workflow:

1. Webhook (/inf)

Gets hit by ElevenLabs once the user finishes talking. Payload includes userquestion.

2. Embed User Message (Together API - BAAI/bge-large-en-v1.5)

Turns the spoken question into a dense vector embedding. This embedding is the query representation for semantic search.

3. Search Embeddings (Supabase RPC)

Calls matchembeddings1 to find the top 5 most relevant context chunks from your stored knowledge base.