I will n8n rag chatbot,ai agents using pinecone supabase as vector database


Level 1
About this gig
Does your AI chatbot guess or hallucinate?
I build custom n8n RAG AI Chatbots that give 100% accurate answers by referencing your actual data,Using Pinecone or Supabase, I create a Vector Database memory for your AI. Whether its a folder of PDFs, your Website, or Notion docs, your chatbot will "read" everything and answer questions instantly with citations.
I Will Build Your Custom RAG Architecture:
- Workflow Engine: n8n.
- Vector Database: Pinecone or Supabase.
- AI Models: OpenAI (GPT-4o) or Anthropic
- Data Sources: PDFs, CSVs, Websites, Notion.
What You Get:
- Smart Retrieval: The AI searches your data first, then answers.
- No Hallucinations: Restricted to your facts only.
- Source Links: The bot cites the exact document page.
- Full Ownership: You get the editable n8n workflow file.
Use Cases:
- Customer Support: Auto-answer FAQs from your manuals.
- Internal Search: "HR Helper" that reads employee handbooks.
- Doc Analysis: Extract data from contracts instantly.
Give your AI a real brain. Click Order Now to build your Pinecone/Supabase system!
Get to know Nduka Marvelous
AI Voice Agent Developer, Call Automation Scheduling with Retell n8n GoHighLevel
Level 1
- FromNigeria
- Member sinceAug 2025
- Avg. response time1 hour
- Last delivery1 week
Languages
English, Spanish
My Portfolio
FAQ
What is "RAG"?
RAG stands for Retrieval Augmented Generation. It's the architecture that fetches relevant data from your Vector Database before generating an answer, ensuring accuracy.
What is the difference between Pinecone and Supabase?
Pinecone is a specialized vector database optimized for speed and large datasets. Supabase is an open-source alternative (PostgreSQL) that is great if you also need to store user data or auth. I work with both.
Can I upload new documents later?
Yes. I build an "Ingestion Workflow" in n8n. You simply drop a file into a Google Drive folder, and the system automatically updates the Vector Database.
Do I need a paid OpenAI account?
Yes, you will need an API key. However, by using a Vector Database, we reduce costs because we only send relevant text to the AI, not the whole document.

