Automated Monthly Social Media Report Generation with RAG Agent
detail.loadingPreview
This workflow automates the generation of monthly social media reports by leveraging a RAG Agent. It ingests data via webhook, processes it with text splitters and embeddings, stores it in Weaviate, and uses an Anthropic Chat Model for report generation.
🚀Ready to Deploy This Workflow?
About This Workflow
Overview
This n8n workflow is designed to automate the creation of monthly social media reports. It utilizes a Retrieval-Augmented Generation (RAG) approach by combining a webhook trigger for data ingestion, text splitting and embedding for data processing, Weaviate for vector storage, and an Anthropic Chat Model for generating the report content. The workflow is structured to handle incoming data, enrich it with contextual information from Weaviate, and then produce a summarized report. The 'Sticky Note' node provides a visual placeholder for the report's content.
Key Features
- Webhook Trigger: Accepts incoming social media data via an HTTP POST request.
- Text Splitting & Embeddings: Processes raw text data into manageable chunks and generates vector embeddings using OpenAI's 'text-embedding-3-small'.
- Weaviate Vector Store: Stores and retrieves relevant data chunks for context using the 'Weaviate Insert' and 'Weaviate Query' nodes.
- RAG Agent: Orchestrates the retrieval of context and generation of the report using the 'RAG Agent' node with an Anthropic Chat Model.
- Google Sheets Integration: Appends the generated report status to a Google Sheet for logging.
- Error Alerting: Sends an alert to Slack via the 'Slack Alert' node in case of any workflow errors.
How To Use
- Configure Webhook Trigger: Set up the 'Webhook Trigger' node with the desired HTTP method (POST) and path to receive social media data.
- Set up Langchain Nodes: Configure the 'Text Splitter', 'Embeddings', and 'Weaviate Insert' nodes to process and store your social media data.
- Define Weaviate Index: Ensure your Weaviate instance is set up with the 'monthly_social_media_report' index.
- Configure Chat Model & RAG Agent: Set up the 'Chat Model' and 'RAG Agent' nodes, specifying the system message and ensuring the 'Vector Tool' and 'Window Memory' are correctly connected.
- Google Sheets Integration: Configure the 'Append Sheet' node with your Google Sheet ID and desired sheet name to log report generation status.
- Slack Alert Configuration: Set up the 'Slack Alert' node with your Slack API credentials and channel to receive error notifications.
Apps Used
Workflow JSON
{
"id": "f87fbdfc-7194-4118-9e66-b22b948db660",
"name": "Automated Monthly Social Media Report Generation with RAG Agent",
"nodes": 0,
"category": "Social Media Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: f87fbdfc-7194...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
Statistics
Verification Info
Related Workflows
Discover more workflows you might like
Automate Instagram & Twitter Post Generation with OpenAI and Airtable
This workflow leverages n8n to automatically generate engaging social media content using OpenAI's GPT-3 and stores it in Airtable. It solves the problem of content creation burnout by providing a repeatable, automated solution for social media posts.
Automate Social Media Banner Creation with AI-Generated Images
This n8n workflow automates the creation of social media banners using AI-generated images. It captures event details via an n8n Form, generates an image with OpenAI, processes it with Cloudinary, designs a banner with Bannerbear, and posts it to social media.
Automate YouTube Video Summaries with AI for Discord Notifications
This n8n workflow automatically fetches new YouTube video captions, uses AI to generate concise summaries, and posts them to Discord. It's perfect for content creators and community managers to keep their audience informed.