Adaptive RAG with Google Gemini & Qdrant: context-aware query answering

About This Workflow

Adaptive RAG with Google Gemini & Qdrant: context-aware query answering

This workflow automatically classifies user queries and retrieves the most relevant information based on the query type. It uses adaptive technology from Google Gemini and Qdrant to provide context-aware query answering. This enables users to receive precise and useful information, enhancing their overall user experience.

This workflow is suitable for developers, marketers, and business owners who want to implement a smart query answering system that adapts to user input. It's particularly useful for internal knowledge bases or AI-powered chatbots.

• Adaptive Query Classification: Classifies user queries into different types and retrieves relevant information.
• Context-Aware Answering: Uses Google Gemini and Qdrant to provide precise and useful information based on the query context.
• Real-Time Information Retrieval: Retrieves information in real-time, ensuring users receive the most up-to-date results.
• Flexibility and Customization: Allows for customization and flexibility to adapt to different user needs and preferences.

To get started with this workflow, import it into your n8n instance and customize it according to your specific requirements. You can adjust the workflow's settings to fit your internal knowledge base or AI-powered chatbot, ensuring it provides the best possible user experience for your users.