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Why n8n + RelytONE?

n8n is a low-code automation platform that chains triggers, APIs, and AI nodes into reusable workflows. In this guide we’ll connect n8n’s “Chat with a database using AI” template to RelytONE—routing prompts through our LLM proxy and running SQL on our PostgreSQL compute—so you can talk to your database through natural language.

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Prerequisites

  • A RelytONE project with at least one compute running (get one for free at https://data.cloud/relytone).
  • A RelytONE LLM proxy token. Create and manage tokens in the console via AI Tools > LLM Access. See docs.
  • Access to n8n Cloud or a self-hosted n8n instance.

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1. Start from n8n’s AI + Database Template

Import the Chat with a Database using AI template. n8n will open the template setup page with two options:
  • OpenAI Chat Model – LLM credential.
  • Postgres Tool – database credential.

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2. Configure the LLM Node with RelytONE

In OpenAI Chat Model, click the pencil icon:
  • Base URL / Endpoint: https://relytone.data.cloud/api/v1/llm-proxy/v1/
  • Access Token: paste your RelytONE token
n8n handles the rest—no custom headers needed. Configure LLM node with RelytONE

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3. Connect the Postgres Node to RelytONE Compute

In Postgres Tool, edit the credential and copy everything from Project > Connect:
  • Host / Port / Database / User: as shown in the dialog
  • Password: input manually (RelytONE does not retain it)
  • SSL Mode: require
Save to bind the Postgres node to your compute. Configure Postgres node with RelytONE compute

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4. Chat with Your Data

Once both options are green, click Continue to open the workflow. Use the lower-left chat panel to ask questions; the LLM turns prompts into SQL, runs them on RelytONE over SSL, and replies in the same pane. Chatting with database through n8n

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About RelytONE

RelytONE is an all-in-one serverless PostgreSQL with built-in vector search, full-text indexing, and pg_duckdb analytics. It also delivers LLM access, observability, so you can launch AI-native workflows without reaching for extra tooling.