RAG with Claude & Supabase pgvector

Build a RAG pipeline with Claude for generation, Supabase pgvector for embeddings storage (no separate vector DB needed), and Vercel for deployment.

Setup: 3-5 days

3 tools

3 use cases

Best For

Customer support bots

Product documentation search

Internal knowledge management

Stack Components

Supabase

Postgres development platform with instant APIs, auth, realtime sync, storage, pgvector support, and an MCP experience that fits modern AI app teams.

Vercel

AI cloud for shipping web products with Git-based deployment, previews, global edge delivery, agent tooling, fluid compute, and integrated AI app infrastructure.

Cursor

AI-first code editor built on VS Code with strong autocomplete, multi-file agent workflows, cloud agents, and review surfaces across editor, terminal, GitHub, and chat tools.

Note: 1 tool(s) not found in database

Getting Started

1
Supabase
Postgres development platform with instant APIs, auth, realtime sync, storage, pgvector support, and an MCP experience that fits modern AI app teams.
2
Vercel
AI cloud for shipping web products with Git-based deployment, previews, global edge delivery, agent tooling, fluid compute, and integrated AI app infrastructure.
3
Cursor
AI-first code editor built on VS Code with strong autocomplete, multi-file agent workflows, cloud agents, and review surfaces across editor, terminal, GitHub, and chat tools.

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