Preview coming soon
Ultimate Agentic RAG AI Agent Template
This n8n workflow implements an Agentic Retrieval Augmented Generation (RAG) system that processes diverse data types using a Superbase vector database and SQL queries for tabular data. The system dynamically retrieves, embeds, and aggregates PDF content and structured sales data while using file content fetching and error-handling nodes. Built by Nate Herk with a featured template by Cole, it offers a robust, free automation template to enhance AI agent reasoning before querying.
Integrations
Tags
One-time purchase
Related automations
Sales Assistant Build
This comprehensive workflow by Nolan Harper uses n8n to deliver a 24/7 AI sales assistant tailored for automating lead capture and personalized follow-up. The...
Publish to 9 Social Platforms
This system is an automated workflow that reads content details from a Google Sheet, extracts media from Google Drive, and uses API calls to a dedicated social...
Parent Agent
This workflow demonstrates a multi-agent architecture where a parent agent communicates with child agents to perform tasks like story generation. It details...