Create Adaptive RAG Chat Agent with Google Gemini and Qdrant

Unlock adaptive, context-aware AI chat in your automations—no coding required! This template is a plug-and-play n8n workflow that transforms how your chatbots, support agents, and knowledge systems respond to users. Powered by Google Gemini and a Qdrant vector database, it automatically classifies every incoming query and applies a tailor-made strategy for Factual, Analytical, Opinion, or Contextual requests—delivering the right answer, every time. 🛠️ Key Features Automatic Query Classification: Seamlessly detects whether the user wants facts, a deep analysis, opinions, or context—then routes each input to the best answering strategy. Four Dynamic Retrieval Modes: 1) Factual: Delivers preci

Help me set up the n8n workflow "Create Adaptive RAG Chat Agent with Google Gemini and Qdrant" (https://n8n.io/workflows/5111). It uses: AI Agent, Simple Memory, Qdrant Vector Store, Embeddings Google Gemini, Google Gemini Chat Model. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.