Your customer support team shouldn't have to search through hundreds of documents to answer a single question.

I built an Autonomous RAG-Based AI Customer Support System in n8n that gives businesses an intelligent support assistant trained on their own documentation.

Here's how it works:

• Imports knowledge directly from documents. • Splits and indexes content into a vector database. • Retrieves the most relevant information for every question. • Uses AI to generate accurate, context-aware responses. • Delivers fast, consistent answers without human intervention.

This means your customers get instant support, while your team spends less time answering repetitive questions and more time solving complex issues.

Whether it's product documentation, company policies, SOPs, knowledge bases, or internal manuals, your AI assistant can understand your business and provide reliable answers 24/7.

If your business has a growing knowledge base and a busy support team, this is exactly the kind of automation that saves time, improves customer experience, and scales without adding more staff.

Built with n8n, OpenAI, Supabase, and RAG (Retrieval-Augmented Generation).