Adaptive RAG Chat Agent with Google Gemini & Qdrant

This n8n workflow creates an intelligent, adaptive chat agent powered by Google Gemini for query classification and generation, combined with Qdrant vector database for efficient knowledge retrieval. It automatically detects query types—Factual for precise info, Analytical for deep breakdowns, Opinion for diverse viewpoints, and Contextual for user-specific insights—and routes to optimized strategies with custom prompts and memory buffers.

Key benefits include no-code setup, seamless integration into chat interfaces or APIs, and enhanced response accuracy without manual coding. It saves hours of development time for building context-aware AI systems, reducing errors in customer support or knowledge bases.

Ideal use cases: customer support bots, research assistants, onboarding agents, internal wikis, or any adaptive chat needing smart retrieval. Import, connect credentials, and deploy instantly—extendable for scaling.

Includes full workflow JSON and step-by-step setup guide for rapid deployment.