Multimodal RAG with Gemini

Process documents, images, and text together with Gemini's multimodal capabilities, store in Supabase pgvector, serve with Vercel.

Setup: 1-2 weeks

4 tools

3 use cases

Best For

Document analysis

Invoice processing

Visual search

Stack Components

n8n

Technical workflow platform for building AI agents, RAG systems, integrations, and production automations with both visual nodes and embedded code.

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.

Getting Started

1
n8n
Technical workflow platform for building AI agents, RAG systems, integrations, and production automations with both visual nodes and embedded code.
2
Supabase
Postgres development platform with instant APIs, auth, realtime sync, storage, pgvector support, and an MCP experience that fits modern AI app teams.
3
Vercel
AI cloud for shipping web products with Git-based deployment, previews, global edge delivery, agent tooling, fluid compute, and integrated AI app infrastructure.
4
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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