Notion and Confluence integration

Notion and Confluence AI agents: turn your wiki into a knowledge base

A wiki is the best source for an internal assistant and the worst thing to paste into a prompt. Export or fetch the pages, index them as a knowledge base, and let the agent retrieve the relevant chunks with citations; use an HTTP API tool for live lookups of a specific page when freshness matters.

Tool type

HTTP API

Auth type

bearer_token (integration token)

Safety level

safe_read

What you can build

An internal assistant that answers policy and process questions from Confluence with a citation to the page.

An onboarding helper that walks new hires through Notion runbooks step by step.

A support agent that combines the public help centre (knowledge base) with a live Notion page for current incident status.

How to connect Notion and Confluence

01Export the pages you want the agent to know, or fetch them with the Notion or Confluence API, and add them as documents to a knowledge base. Keep one page per document with its title as the heading.
02Create an index (chunk size and overlap are settings) and test retrieval with real questions; adjust top k and the minimum score.
03For live lookups, create an HTTP API tool such as GET https://api.notion.com/v1/pages/{{page_id}} with a bearer integration token and the Notion-Version header, safe_read.
04Attach the knowledge base in the agent's Knowledge tab and enable citations in the finalize node.
05Re-index after pages change, and check in the run trace that answers cite the chunk you expect.

Example tool definition

The shape a tool takes in the AgentRow builder API. Credentials are stored on the tool's auth settings, not in its configuration, so they never reach a prompt. Placeholders in double braces are filled by the model from the input schema.

{
  "name": "notion_get_page",
  "type": "http_api",
  "description": "Fetch a Notion page's properties by id. Use for pages that change often, such as an incident status page.",
  "auth_type": "bearer_token",
  "safety_level": "safe_read",
  "is_readonly": true,
  "config": {
    "method": "GET",
    "url": "https://api.notion.com/v1/pages/{{page_id}}",
    "headers": { "Notion-Version": "2022-06-28" },
    "allowed_domains": ["api.notion.com"]
  },
  "input_schema": {
    "type": "object",
    "properties": { "page_id": { "type": "string", "description": "The Notion page id" } },
    "required": ["page_id"]
  }
}

What the run trace shows

Every retrieval appears in the run trace with the query, the candidate chunks and their scores, the chunks that made it into the prompt, what was trimmed for the token budget, and whether a source chunk has changed since. Live page lookups through the HTTP API tool are logged like any other call.

Frequently asked questions

Does AgentRow sync with Notion or Confluence automatically?

Not today. Add or update documents and re-index; the builder API lets you script that from your own sync job.

How do citations work?

When citations are enabled in the finalize node, the answer references the retrieved chunks it used, and the run trace shows exactly which chunks were cited.

What if two pages contradict each other?

The retrieval log shows both candidates and their scores, so you can see which one won and fix the source. Deduplication and the minimum score help, but the durable fix is in the wiki.

Keep reading

Feature

Knowledge bases and RAG

Ground AI agents in your documents: knowledge bases with chunking, embeddings, hybrid keyword and vector retrieval, reranking, citations and full logs.

Docs

Tools

Tool types, what a tool defines, how results reach the model, tool selection with search_tools, and authenticated tools for signed-in users.

Compare

AgentRow vs. LangFlow

Compare AgentRow and LangFlow for AI agents: visual workflows, multi-agent orchestration, RAG, observability and what it takes to run in production.

Integrations

All integration guides

Slack, HubSpot, Stripe, Shopify, GitHub, calendar, email, wikis, webhooks and any REST API.

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