Automated Keyword Rank Checking with RAG Agent

Overview

This n8n workflow is designed to automate the process of checking keyword ranks. It utilizes a Retrieval-Augmented Generation (RAG) approach, integrating various nodes to achieve its functionality. The workflow starts with a Webhook Trigger to receive incoming data related to keyword checks. This data is then processed by a Text Splitter to break it down into manageable chunks, followed by Embeddings to convert the text into numerical representations. These embeddings are stored in Pinecone for efficient retrieval. A Chat Model and Vector Tool are used to perform context-aware analysis, and the results are managed by Window Memory. Finally, the processed information is logged to a Google Sheet via the Append Sheet node, with Slack Alert providing error notifications.