Automated Keyword Rank Checking with RAG Agent
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This workflow automates keyword rank checking using a RAG Agent. It leverages a Webhook Trigger to receive data, processes it with Text Splitter and Embeddings, stores it in Pinecone, and then uses a Chat Model and Vector Tool to analyze and respond.
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About This Workflow
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.
Key Features
- Automated Data Ingestion: Utilizes a
Webhook Triggerfor seamless data input. - Advanced Text Processing: Employs
Text SplitterandEmbeddingsfor efficient data preparation. - Vector Database Integration: Leverages
Pineconefor robust storage and retrieval of vectorized data. - RAG Agent for Intelligence: Integrates
Chat Model,Vector Tool, andWindow Memoryto power an intelligent RAG agent. - Automated Logging: Appends results to a Google Sheet using the
Append Sheetnode. - Error Notification: Sends alerts to Slack via
Slack Alertin case of workflow failures.
How To Use
- Set up Webhook Trigger: Configure the
Webhook Triggernode to receive data for your keyword rank checking tasks. - Configure Text Processing: Adjust the
Text SplitterandEmbeddingsnodes according to your data's characteristics and the chosen embedding model. - Set up Pinecone: Ensure your Pinecone index (
keyword_rank_checker) is created and accessible, and configure thePinecone InsertandPinecone Querynodes with your Pinecone credentials and index details. - Configure AI Components: Set up the
Chat Modelwith your preferred OpenAI model and API key, and theRAG Agentwith appropriate system messages and prompts. - Google Sheets Integration: Authorize the
Append Sheetnode with your Google Sheets credentials and specify theSHEET_IDandLogsheet name for logging results. - Slack Alerts: Configure the
Slack Alertnode with your Slack API credentials and the desired channel for error notifications.
Apps Used
Workflow JSON
{
"id": "76c73130-19a4-4b36-af07-b6922874ff88",
"name": "Automated Keyword Rank Checking with RAG Agent",
"nodes": 0,
"category": "Misc",
"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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ID: 76c73130-19a4...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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