Customer support chatbot with RAG using OpenAI and Pinecone
🤖 Simple RAG Customer Support Chatbot 📋 Overview This intelligent customer support chatbot leverages Retrieval-Augmented Generation (RAG) to provide accurate, contextual responses by combining your knowledge base wi...
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🤖 Simple RAG Customer Support Chatbot
📋 Overview
This intelligent customer support chatbot leverages Retrieval-Augmented Generation (RAG) to provide accurate, contextual responses by combining your knowledge base with AI capabilities. The system automatically retrieves relevant documents from your Pinecone vector store and uses them to generate informed responses through OpenAI's language models.
âš¡ Quick Setup
1. Import Workflow Import this workflow template into your n8n instance 2. Configure Credentials Add the following API credentials:
- OpenAI API Key: For chat completions and embeddings - Pinecone API Key: For vector database operations - Google Drive: For document auto ingestion
3. Initialize Vector Store Use the "Insert documents into Pinecone" workflow to populate your knowledge base 5. Activate Workflow Enable the main chat workflow to start receiving requests
🔧 How it Works