Hi there! 👋
I'm building a custom AI chatbot that helps customers find products using natural language. It uses Retrieval-Augmented Generation (RAG) with OpenAI, Pinecone vector search, and Shopware 6 as the backend system.
The project is already working in parts, but I need support to finalize a functional demo, clean up the n8n flow, and ensure product data is correctly returned from the Shopware API.
🔧 Tech Stack
n8n (automation workflows)
OpenAI (response generation)
Pinecone (vector database for product queries)
Shopware 6 (API-based product catalog)
HTTP Requests (API integration)
🧠 Project Logic
A customer asks for a product in a natural way (via chat)
A vector search finds the best match using Pinecone
The result needs to be passed into an API request tool in n8n
The system fetches product info (e.g., stock, price) from Shopware
A complete answer is returned to the user
✅ What I Need Help With
Connect Pinecone results into the n8n tool that calls the Shopware API
Ensure the correct product name or ID is passed dynamically
Clean and optimize the current n8n flow
Make sure product data is returned reliably for each search
The goal is to complete the product search + Shopware lookup chain so it works end-to-end for a demo presentation.
🎯 Goal & Collaboration
This task is the first milestone: delivering a fully working demo.
If successful, I’m looking for ongoing collaboration on future chatbot features including:
Quote generation
Payment workflows
Inventory syncing
Language support
Customer journeys
💼 What I’m Looking For
Strong skills with n8n workflows
Experience with Pinecone or other vector databases
Knowledge of Shopware 6 API or similar systems
A clean, reliable approach to building automation
Bonus: familiarity with AI agent or chatbot architecture
📝 To Apply
In your proposal, please include:
A short summary of your relevant experience
A quick explanation of how you’d approach this challenge
Your availability to start this week
Any ideas or questions you already have
I’m excited to collaborate with someone detail-oriented and experienced — and hopefully build something great together. Let’s talk!
