RAG Chatbot with Pinecone Vector Store

Build a powerful RAG (Retrieval-Augmented Generation) chatbot using Pinecone vector store. This workflow allows users to ask questions about stored documents and receive AI-powered responses based on the indexed content. Use Cases: - Document Q&A systems - Knowledge base chatbots - Financial report analysis Node Count: 14 Difficulty: Intermediate Integrations: Pinecone, OpenAI, Chat Trigger