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AI is only as useful as the information it has access to. Instead of relying on pre-trained models with outdated data, this tutorial shows how to store, update, and retrieve documents dynamically in Flowwise AI. We walk through building a document management system that allows AI agents to: ✅ Store structured knowledge from multiple sources (PDFs, scraped web data, etc.) ✅ Keep information up to date without complex reprocessing ✅ Embed documents in Qdrant for fast, AI-powered retrieval By centralizing knowledge in a document store, AI chatbots can provide accurate, real-time responses based on the latest available data. This approach is scalable, efficient, and ensures full control over what AI uses to generate answers. ------------------------------------------------------------------------------------------------------------------------------------------- 📌 If you want to build and deploy AI agents we provide everything you need — pre-configured environments, open-source vector stores, databases, and seamless deployment in minutes on your cloud or data center. Learn more here 👉 https://qubinets.com/build-ai-agent/