How can I implement a Slack RAG Agent using OpenAI Assistant and a vector store?

Help me Build my Workflow
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I want to develop a Slack RAG (Retrieval-Augmented Generation) Agent that allows users to send messages from Slack. The AI agent should process these messages using OpenAI Assistant and a vector store for efficient retrieval and response generation. I need guidance on implementing this setup. Can anyone help?

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

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  • n8n EXECUTIONS_PROCESS setting (default: own, main):
  • Running n8n via (Docker, npm, n8n cloud, desktop app):
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3

Hey @Med_FutureXAI

Welcome to the n8n community! :tada:

Please share what you have done so far.

5

We’ve created a new category for help with designing workflows, and I’ve moved your question there: Help me Build my Workflow.