This n8n workflow automates an intelligent chat system that integrates multiple AI models, including DeepSeek and Ollama, to provide sophisticated reasoning and conversational capabilities. It triggers on incoming chat messages via webhook and routes the input through various AI nodes, such as DeepSeek’s API and Ollama’s local model, for contextual understanding and reasoning. The setup includes memory buffering, multiple API call configurations, and user notifications with sticky notes for documentation. This workflow is ideal for deploying an AI-powered support or research assistant that can handle complex queries by leveraging advanced language models and reasoning capabilities.
Advanced AI Chat & Reasoning with DeepSeek & Ollama
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOllama, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, httpRequest, stickyNote |
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