Slack AI Chatbot with Retrieval-Augmented Generation (RAG)

This n8n workflow creates an intelligent Slack AI chatbot that leverages Retrieval-Augmented Generation (RAG) to provide accurate internal company information. It integrates Slack triggers, document retrieval from Google Drive, and vector similarity searches with Qdrant to process user queries efficiently. The workflow involves multiple nodes: a Slack trigger to listen for mentions, memory buffers for contextual understanding, document downloads, embedding generation via OpenAI, and vector similarity searches, culminating in a coherent chatbot response. This automation is ideal for enhancing internal support, automating FAQs, and quickly disseminating company knowledge, ultimately improving team productivity and information access.