Getting Emails | Academind

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n8n for AI Workflows and AI Agents

Introduction

Welcome & Course Overview (0:34)
n8n Overview & Installation With Docker (6:01)
Interface & Core Nodes (3:02)
The First Project (5:21)

The Workflow Basics

Section Introduction (1:15)
Editing Fields (1:37)
Splitting Out Fields (1:36)
Validating Data With The IF Node (2:42)
Adding Routed With Switch (1:25)
Transforming Data (2:45)
Merging Data (1:35)
Sending Emails (2:40)

Building AI Workflows

Section Introduction: AI Workflows vs AI Agents (1:46)
Getting Emails (3:14)
Messaging The AI Model (2:40)
Sending Slack Messages (2:07)
Handling Binary Files (2:46)
"Extract From File" (3:20)
Creating Files: JSON vs Binary (3:36)
JSON Schemas (4:16)
Accessing Binary Metadata (2:20)
The Blog & Social Media Generation Workflow (1:58)
Preparing The Form Node (1:44)
Using the OpenAI Nodes To Create Prompts & Posts (3:50)
Sending HTTP Requests To Generate Images (4:29)
Converting Base64 Strings to Binary (1:31)
Handling the Google Gemini Image Output (3:48)
Storing Data On Dropbox (3:24)
Splitting Out Array Items (3:31)
Adding The Social Media Routes (3:09)
Preparing The Social Media Generation AI Nodes (5:43)
Adding The Subworkflow (2:35)
API Setup Instructions

AI Agents & RAG (Retrieval Augmented Generation)

Section Introduction (0:49)
The AI Agent (1:41)
Adding Web Search (2:14)
Adding Context Memory (1:37)
Adding Tools (5:04)
Running the AI Agent (3:18)
Introducing RAG (2:34)
Retrieving Past Support Emails (3:04)
Storing Data In The Pinecone Vector Database (4:35)
Retrieving Data From The Vector Database (3:19)
Getting Full Conversations From Gmail (2:46)
Sorting Data & Removing Duplicates (1:33)
Summarizing & Concatenating Data (1:06)
Creating The AI-Email Draft (2:03)
Adding A Loop (2:21)
Adding An AI Agent (5:01)

Getting Emails

Complete and Continue