Automated Currency Rate Monitoring and Logging Workflow

somdn_product_page

This n8n workflow automates the process of monitoring currency exchange rates, analyzing the data, and logging the results. It begins with a webhook trigger that starts the process upon receiving new currency data. The data is then split into manageable chunks and embedded using OpenAI’s language models. These embeddings are stored in a Weaviate vector database, enabling efficient similarity searches later on. The workflow includes querying the vector store to retrieve relevant information, which is then processed by a RAG (Retrieval-Augmented Generation) agent. The agent interacts with OpenAI’s chat model to interpret the data, and the results are written into a Google Sheets log. If any errors occur during processing, an alert is sent via Slack. This workflow is ideal for financial services, trading platforms, or currency monitoring systems that require real-time data analysis and logging for insights or alerts.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, googleSheets, slack, stickyNote, webhook

Reviews

There are no reviews yet.

Be the first to review “Automated Currency Rate Monitoring and Logging Workflow”

Your email address will not be published. Required fields are marked *