This n8n workflow creates an automated system for financial analysis by integrating AI language models, database tools, and webhooks. When a new chat message is received via a webhook, the workflow processes the message through a language model and stores the conversation in memory. It then interacts with a PostgreSQL database to retrieve prepared financial reports and balance sheets, leveraging AI to analyze or summarize financial data. This setup is particularly useful for financial analysts or businesses seeking real-time insights and automation of financial report processing, enabling faster decision-making and efficient data handling.
Automated Financial Analysis Assistant
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, postgresTool, stickyNote |
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