This n8n workflow creates a sophisticated AI chatbot designed for internal documentation, customer support, e-commerce assistance, or organizational knowledge sharing. The workflow is triggered by incoming chat messages via webhooks and processes user queries through a series of integrated nodes, including language models, a vector similarity search database, memory storage, and an AI agent. It utilizes services like Anthropic’s Claude model, OpenAI embeddings, and a PostgreSQL database for conversation context, alongside a Supabase vector store for relevant document retrieval. The AI agent intelligently decides when to fetch information from the knowledge base, providing accurate and context-aware responses. The setup supports extensive customization for response style, language, and integrated actions such as emailing or scheduling. Ideal for deployment across websites, Slack, Teams, and e-commerce platforms, this workflow enhances user support capabilities by combining real-time chat with a dynamic, knowledge-driven backend.
AI-Powered Custom Knowledge Base Chatbot Workflow
Node Count | 6 – 10 Nodes |
---|---|
Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.memoryPostgresChat, @n8n/n8n-nodes-langchain.vectorStoreSupabase, stickyNote |
Reviews
There are no reviews yet.