AI Commodity Price Tracker with Redis and Anthropic
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Automate commodity price tracking and analysis using a webhook, AI embeddings, and a Langchain agent. This workflow stores price data in Redis and logs key insights to Google Sheets, powered by Anthropic's language model.
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About This Workflow
Overview
This n8n workflow automates the process of tracking commodity prices by leveraging AI and vector database technology. It starts with a Webhook to receive price data, which is then processed and embedded using Cohere's embeddings. This data is stored in a Redis vector store for efficient querying. A Langchain agent, powered by Anthropic's language model and incorporating memory, is used to analyze incoming commodity price information, query the Redis store, and generate insights. Finally, these insights are logged to a Google Sheet for ongoing monitoring and decision-making.
Key Features
- Real-time commodity price data ingestion via webhook.
- AI-powered data processing and embedding using Cohere.
- Efficient data storage and retrieval with Redis Vector Store.
- Intelligent analysis and insight generation by an Anthropic-powered Langchain agent.
- Conversation memory for context-aware analysis.
- Automated logging of insights to Google Sheets.
How To Use
- Set up the 'Webhook' node to receive commodity price data.
- Configure the 'Splitter' and 'Embeddings' nodes to process and embed the incoming data using Cohere.
- Set up the 'Insert' node to store embeddings in your Redis Vector Store.
- Configure the 'Query' node to retrieve relevant historical data from Redis.
- Set up the 'Chat' node with your Anthropic API credentials to power the AI agent.
- Configure the 'Memory' node to maintain conversation context for the agent.
- Define the 'Agent' node with appropriate prompts and tools, connecting it to the Chat, Memory, and Query nodes.
- Configure the 'Sheet' node to log the generated insights to a Google Sheet.
Apps Used
Workflow JSON
{
"id": "c25c2f05-1941-42d1-b950-8ac0a99ba4bf",
"name": "AI Commodity Price Tracker with Redis and Anthropic",
"nodes": 0,
"category": "Agriculture",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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