Automated Currency Exchange Data Processing Workflow

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This n8n workflow automates the process of handling currency exchange information through a series of integrated nodes. It starts with a Webhook trigger that captures incoming POST requests on the ‘currency_exchange_estimator’ endpoint. The data is then split into manageable chunks by a Text Splitter node, preparing it for further processing. Leveraging HuggingFace Embeddings, the workflow indexes this data into a Weaviate vector database for efficient retrieval. When a query is received, it searches the database for relevant exchange data, which is then processed by a language model (ChatGPT) with memory capabilities for contextual understanding. An agent formulates a meaningful response based on the query, and the final output is logged into a Google Sheet for record-keeping. Overall, this workflow is ideal for automating currency exchange estimations, creating a searchable database of currency data, and providing intelligent responses to user inquiries, making it highly useful for financial services, trading platforms, or currency comparison tools.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, googleSheets, stickyNote, webhook

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