This n8n template transforms any website into a fully functional RAG-ready chatbot knowledge base. It crawls sites using the AI Training Data Scraper community node, chunks content intelligently, generates embeddings, and stores everything in Pinecone for semantic search-powered conversations. Perfect for turning documentation, blogs, or marketing sites into instant AI chat assistants. Use cases - Convert documentation sites into intelligent support chatbots - Build product knowledge bases from

This n8n template transforms any website into a fully functional RAG-ready chatbot knowledge base. It crawls sites using the AI Training Data Scraper community node, chunks content intelligently, generates embeddings, and stores everything in Pinecone for semantic search-powered conversations. Perfect for turning documentation, blogs, or marketing sites into instant AI chat assistants. Use cases - Convert documentation sites into intelligent support chatbots - Build product knowledge bases from marketing websites - Create internal search tools from company intranets - Power customer support agents with scraped competitor analysis - Generate training data for fine-tuning company-specific AI models Good to know This workflow connects to external services requiring API credentials. Works on n8n Cloud and self-hosted instances. Initial setup takes 10 minutes including community node installation. Requirements - n8n Cloud or self-hosted instance - Community Node - Apify API key - OpenAI API key - Pinecone account & index Customising this workflow - Replace Pinecone with Qdrant, Weaviate, or pgvector for self-hosted vector storage - Swap OpenAI embeddings with Ollama or Hugging Face for zero-cost processing - Add content filtering by language, code presence, or section type - Extend with conversation memory using Redis or Postgres - Build a frontend dashboard for managing multiple website indexes - Add multi-site RAG (query across multiple domains simultaneously)
Download the workflow JSON file after purchase.
Open n8n → click the menu → Import from File.
Select the downloaded JSON and import.
Set up credentials for each node that requires them.
Click Execute Workflow to test, then activate.
Setup guide included
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