n8n Adds Kapa AI Node for One-Step Agent Retrieval.

The Kapa AI node gives agents in n8n retrieval across all their sources through one canvas node. It removes the need to set up document chunking, embeddings or a vector store for that retrieval layer.

According to n8n’s LinkedIn announcement, Kapa also maintains the source index automatically. n8n reports that it produces better answers using half the tokens.

The node brings the main retrieval jobs into one part of the workflow:

Chunking, embeddings and vector storage are normally separate parts of a retrieval setup. With this node, builders do not need to configure those components individually before an agent can retrieve information from its sources.

The automatic index sync also moves ongoing source maintenance into Kapa. When the indexed sources change, Kapa is responsible for keeping its index current rather than requiring a separate indexing process in the n8n workflow.

The Kapa AI node focuses on the knowledge retrieval stage. It gives an agent access to indexed source material without requiring the builder to assemble the supporting retrieval infrastructure on the canvas.

That makes it distinct from the n8n Assistant, which builds editable workflows from plain English. The Assistant helps create the workflow, while the Kapa AI node supplies retrieval to agents running inside it.

What is n8n’s Kapa AI node?

It is a workflow node that gives AI agents retrieval across connected sources. Kapa handles the index and keeps it in sync automatically.

How does the Kapa AI node change retrieval setup?

Builders do not need to configure chunking, embeddings or a vector store for the node. Retrieval across sources is provided through one node on the canvas.

Which n8n plan includes the Kapa AI node?

The announcement does not give pricing or plan availability. It confirms that Kapa AI has joined the n8n canvas.