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