Build Reliable AI Assistants: Your RAG System Guide
Build reliable RAG assistants that ground answers in searchable documents, metadata, vector retrieval, and verifiable sources using practical Supabase and n8n workflows.
- Intermediate
- 7 lessons
- 47 min
- Taught by Nate Grahek
What you'll learn
- Grounded AI Answers Use RAG to ground AI answers in current, specific source material instead of relying on model memory or guesswork.
- RAG Use Case Validation Validate a use case with a small file-based prototype before investing in a full custom RAG system.
- Knowledge Base Design Design chunks, metadata fields, and source references that make retrieved information accurate, traceable, and useful.
- Search Strategy Choose between keyword search, semantic search, and structured queries based on whether users need exact matches, meaning-based retrieval, or calculations.
- Vector Database Setup Build a Supabase vector database that stores text chunks, embeddings, and metadata for reliable retrieval.
- Reliable Chat Workflows Configure retrieval, re-ranking, and prompting so assistants answer consistently with evidence-backed source details.
Lessons 7 lessons · 47 min
Every lesson comes with Pro, $29 a month.
- Lesson 1: Introduction to RAG and AI Limitations 3 min
- Lesson 2: Why Projects Help Before Building RAG 6 min
- Lesson 3: RAG Fundamentals: Retrieval, Chunking, and Metadata 12 min
- Lesson 4: Search Types: Keyword, Semantic, and SQL 8 min
- Lesson 5: Building the Supabase Vector Database 7 min
- Lesson 6: RAG Chat Workflow and Re-Ranking 6 min
- Lesson 7: Live Demo, Q&A, and Practical Use Cases 5 min
Your teacher
Nate Grahek
AI Educator @ The Rundown University
Nate is a SaaS founder and Fractional CMO who helps product-driven businesses build marketing systems that actually work — without the fluff. He's spent years helping founders and operators cut through marketing complexity and put the right things on autopilot.
At Rundown University, Nate brings that same hands-on, no-jargon approach to AI education. His workshops and courses focus on practical automation and AI workflows you can deploy the same day — no engineering background required. If you've ever wanted to use AI to get your time back, Nate shows you exactly how.