Website RAG Chatbot with Pinecone, Airtable & OpenAI
Builds a chatbot that extracts website content, indexes it in Pinecone with OpenAI embeddings, and answers queries using RAG with Airtable for dynamic data like billing.
This n8n workflow automates the creation of a powerful RAG (Retrieval-Augmented Generation) chatbot for website content. It starts by fetching content from a specified website via HTTP Request, extracts the HTML body, converts it to clean Markdown, and splits the text into manageable chunks (around 500 characters with overlap) using a Character Text Splitter. OpenAI generates embeddings for each chunk, which are then stored in Pinecone with namespace support for organized indexing.
The chatbot
Platform
n8n
Category
E-commerce
Price
$24.99
Creator
Matt Buds
RAG
Chatbot
Pinecone
Airtable
OpenAI
VectorDB
Embeddings
E-commerce
CustomerSupport
KnowledgeBase
How to import this workflow into n8n
1Purchase or download the workflow to get the n8n workflow JSON file.
2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
3Open each node marked with a credential warning and connect your own accounts and API keys.
4Run the workflow once manually to verify the data flow, then toggle it to Active.