Create an Adaptive AI Chat Agent with Google Gemini and Qdrant - n8n Workflow | Neura Market
Create an Adaptive AI Chat Agent with Google Gemini and Qdrant
Transform your chatbots and support systems with adaptive, context-aware AI using Google Gemini and Qdrant. This n8n workflow classifies queries and applies tailored strategies for factual, analytical, opinion, or contextual requests, ensuring precise and relevant responses.
This workflow leverages Google Gemini for query classification and Qdrant for efficient knowledge retrieval, enabling a dynamic AI chat experience. It classifies user queries into four categories: Factual, Analytical, Opinion, and Contextual, and routes them through specific strategies to generate accurate and contextually relevant responses. The workflow is ideal for enhancing customer support, research, and internal knowledge systems by providing adaptive AI interactions without the need for c
Platform
n8n
Category
AI
Price
Free
Creator
Elena Popescu
set
switch
summarize
stickyNote
agent
respondToWebhook
chatTrigger
executeWorkflowTrigger
vectorStoreQdrant
lmChatGoogleGemini
How to import this workflow into n8n
1Purchase or download the workflow to get the n8n workflow JSON file.
2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
3Open each node marked with a credential warning and connect your own accounts and API keys.
4Run the workflow once manually to verify the data flow, then toggle it to Active.