Retrieval, not hallucination
You chunk, embed and store your own documents in Pinecone, so the agent pulls the passages that actually answer the question and its reply stands on your material.
Now bookingBeginner to intermediate
Build an A.I. agent that answers from your documents — instead of guessing.
A hands-on course that takes you from an empty n8n canvas to a working retrieval agent: your documents embedded in Pinecone, pulled back on demand, and answered by the model of your choice. No A.I. engineering background needed — if you can follow a workflow, you can build this.
Build Your Own RAG Agent with n8n and Pinecone
Price
€1,099 per participant
Level
Beginner to intermediate
Built in n8n, not in a notebook
Every step is a node you can see, debug and hand over — a workflow your team can run and change without a Python environment.
Wired into the tools you already use
You connect the agent to the models and services you work with anyway, so it ends up where the work happens rather than in a demo tab.
Stack
The tools you'll be working with on this course.
- n8n
- Pinecone
- OpenAI
- Claude
- MCP
- Gmail
- Google Drive
Book your place
Secure your place, or your whole team's
Taught from real delivery experience, not from slideware. Book for yourself or bring your whole team. Send your booking request and we'll get back to you by email to confirm your booking, the start date and the next steps. No payment is taken here.