n8n_pinecone_qdrant_supabase

What problem does it solve?

Integration patterns for n8n (workflow automation) with Vector DBs Pinecone and Qdrant and with Supabase (PostgreSQL + Auth + Storage + Realtime). Use this skill when building AI pipelines, RAG systems, data automation, working with embeddings, semantic search, or any orchestration between these tools. Activate for questions about n8n workflows, vector search, embedding upsert, Supabase RLS, or building RAG on top of this stack.

Core Features & Use Cases

• Orchestrate end-to-end AI pipelines in n8n for embedding generation, vector upsert, and retrieval-augmented generation.
• Integrate with Pinecone and Qdrant for semantic search and scalable vector storage, including common filtering scenarios.
• Connect to Supabase for Postgres-backed storage with vector support, RLS, and realtime updates to drive downstream actions.
• Real-world use case: build a RAG workflow that ingests documents, embeds them, stores vectors, queries for relevant chunks, and feeds results to an LLM.

Quick Start

Set up an n8n project and import this skill to start building a retrieval-augmented workflow with Pinecone, Qdrant, and Supabase.