🤖 AGENT OF THE WEEK (9/4/25)

This guide walks you through building an essential Retrieval-Augmented Generation (RAG) agent that turns static documents into a conversational assistant. Using n8n with GPT-4.1, Pinecone, and Google Drive, you’ll create an agent that can instantly answer questions from employee handbooks, customer FAQs, product manuals, sales playbooks, and more in real time.

Step-by-Step:

1. Open up n8n: Create a new workflow (free account lasts 2 weeks!)

2. Add your docs: Connect Google Drive and load documents for the agent

3. Process the docs: Split the documents into chunks* and generate embeddings** with OpenAI

   1. Text chunking → Breaking a big document into smaller, searchable pieces so the AI doesn’t get overwhelmed

   2. Embeddings → Turning each chunk into a “numeric fingerprint” so the AI knows what it’s about and can find the right information fast

4. Store for retrieval: Send embeddings to the Pinecone vector database

5. Chat with the Agent: GPT-4.1 answers questions by pulling the most relevant info from your vectorized documents

6. Test it live: Try “What’s our vacation policy?”, “How do I reset my account’s password?”, or “What’s the return policy?”

Bonus: We’ve put together a detailed video walkthrough and the exact n8n agent template. Access both in our Building AI Agents Community here!