3 AI Workflows Step-by-Step (Beginner’s Guide to n8n)
AI Summary
Video Summary: 3 Simple AI Workflows
Workflow 1: RAG Pipeline and Chatbot
- Components: Pinecone (vector database), Google Drive, Google Docs, Open Router.
- Concept: RAG stands for Retrieval Augmented Generation, where a chatbot retrieves answers from a vector database when it doesn’t know the answer.
- Setup Steps:
- Set up a Google Cloud project and enable Google Drive API.
- Connect to Google Drive to watch a specific folder for new documents.
- Use Pinecone to upload the contents of the pulled documents into a vector database.
- Outcome: A functioning chatbot that accesses a vector database for responses to queries.
Workflow 2: Customer Support Automation
- Components: Gmail, AI agent, Open Router, Pinecone (vector store).
- Concept: Automate responses to customer support emails by using a predefined knowledge base.
- Setup Steps:
- Set up Gmail trigger to listen for incoming emails.
- Classify emails to determine if they’re customer support queries.
- Use an AI agent to generate responses based on the knowledge base stored in Pinecone.
- Outcome: Automatic email responses using predefined templates and information.
Workflow 3: LinkedIn Content Creation
- Components: Google Sheets, Tava API for web search, AI agent.
- Concept: Pull content ideas from Google Sheets, search for related articles online, and generate posts based on those articles.
- Setup Steps:
- Create a Google Sheet to store content topics and statuses.
- Use Tava to perform web searches for the content topic.
- Use an AI agent to formulate a LinkedIn post using the information gathered.
- Update Google Sheets with the post status.
- Outcome: Automated content generation for LinkedIn with scheduled posting capabilities.
Key Takeaways
- Understand how to integrate AI with various applications for automation.
- Set up complex workflows that can be extended and customized.
- Focus on connecting different services and managing credentials effectively.