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Build a document-upload RAG chatbot with OpenAI, Pinecone and daily analytics

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Overview This workflow implements a complete Retrieval-Augmented Generation (RAG) knowledge assistant with built-in document ingestion, conversational AI, and automated analytics using n8n, OpenAI, and Pinecone. The system allows users to upload documents, automatically convert them into embeddings, query the knowledge base through a chat interface, and receive daily reports about chatbot performance and document usage. Instead of manually searching through documentation, users can ask questi

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Independent

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operations

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