Memory issues on vector database

Describe the problem/error/question

I am trying to insert a thousand documents to my vector database and I keep getting the error of n8n getting out of memory, I had tried diferents vector databases like postgres, pinecone, locally, how I increase my memory usage on my n8n account or can I solve this problem in a different way?

What is the error message (if any)?

n8n there might not be enough memory to finish the execution

Please share your workflow

https://mello123.app.n8n.cloud/workflow/jRrpKfF5cuYZUuaf

(Select the nodes on your canvas and use the keyboard shortcuts CMD+C/CTRL+C and CMD+V/CTRL+V to copy and paste the workflow.)

Share the output returned by the last node

Information on your n8n setup

  • n8n version:
  • Database (default: SQLite):
  • n8n EXECUTIONS_PROCESS setting (default: own, main):
  • Running n8n via (Docker, npm, n8n cloud, desktop app):
  • Operating system:

It looks like your topic is missing some important information. Could you provide the following if applicable.

  • n8n version:
  • Database (default: SQLite):
  • n8n EXECUTIONS_PROCESS setting (default: own, main):
  • Running n8n via (Docker, npm, n8n cloud, desktop app):
  • Operating system:

hi @GUILHERME

Welcome to the community! Have you looked into these suggestions on the docs:

Specifically the part where it recommends splitting into several calls or multiple workflows.

Hope this helps!

1 Like

Thanks for the advice.

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