This n8n workflow enables real-time, AI-driven knowledge retrieval from multiple sources, integrated with WordPress. When a chat message is received via a webhook, the workflow processes the query using large language models (Google Gemini Chat Model) and stores contextual memory for ongoing conversations. It also interacts with knowledge bases like Confluence and a GLPI system through vector embeddings, allowing for intelligent and context-aware responses. Practical use cases include enhancing customer support, automating FAQs, or providing intelligent knowledge base assistance within a WordPress environment, ensuring users get accurate and contextually relevant information instantly.

Node Count	6 – 10 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.embeddingsGoogleGemini, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStorePGVector, stickyNote