This workflow enables an intelligent chatbot to fetch and answer questions based on internal business data stored in Uniconta ERP. It combines webhook triggers, AI language models, and SQL querying to allow users to communicate naturally and retrieve precise data insights from their enterprise system. The process starts with a webhook listening for chat messages, which are processed by an AI agent that converts natural language questions into SQL queries. These queries are executed against the Peliqan data warehouse, which syncs data from Uniconta and runs the necessary SQL commands. The results are then interpreted and returned to the user, making it a powerful tool for accessing real-time business information through conversational AI. Suitable for internal support desks, business analytics, or automated reporting, this workflow streamlines data retrieval and boosts decision-making efficiency.
AI-Powered Data Querying from Uniconta ERP
Node Count | 6 – 10 Nodes |
---|---|
Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, n8n-nodes-peliqan.peliqanTool, stickyNote |
Reviews
There are no reviews yet.