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🕹️ n8n: https://n8n.partnerlinks.io/automatetoelevate/
🤖 OpenAI Embeddings: https://platform.openai.com/assistants
🤓 ClaudeAI: https://www.claude.ai/
🌲 Pinecone: https://www.pinecone.io/
🎵 KFresh: https://kfreshmusic.beatstars.com/
In this video, we compare Make and n8n to see which automation tool is better for building a RAG (Retrieval-Augmented Generation) chatbot. I walk you through the process of setting up a chatbot using n8n, including importing data into Pinecone, setting up embeddings with OpenAI, and creating a chatbot interface. You'll learn how to automate data retrieval, process files, and build a chatbot that can answer customer questions based on uploaded data.
Key Topics Covered:
- Setting up a data import system with n8n and Dropbox
- Using Pinecone and OpenAI embeddings for data retrieval
- Building a chatbot interface with n8n's built-in features
- Comparing Make and n8n for automation and customization
If you're curious about automation tools or want to build your own chatbot, this video is for you!
🎬 Chapters:
00:00 - Introduction and Overview of Make vs n8n
00:30 - High-Level View of RAG Automation Components
00:58 - Explaining the Data Import Process
01:30 - Introduction to Pinecone Vector Store Technology
02:26 - Understanding Embeddings and Text Processing
02:56 - Overview of Chatbot Interface Architecture
03:53 - Accessing Pre-built Automation Templates
04:44 - Setting Up Schedule Trigger in n8n
05:41 - Configuring Dropbox Integration
07:02 - Implementing Time-Based File Check Logic
08:59 - Testing File Modification Detection
10:32 - Handling Time Zone Considerations
12:22 - Downloading Files from Dropbox
13:48 - Setting Up Pinecone Vector Store Integration
14:58 - Configuring OpenAI Embeddings
16:50 - Testing the Complete Import Process
17:54 - Building the Chatbot Interface
19:33 - Setting Up AI Agent Configuration
21:27 - Integrating Anthropic Claude Model
22:42 - Implementing Chat Memory Features
23:35 - Connecting Pinecone Vector Store to Chatbot
24:48 - Testing the Complete Chatbot System
26:33 - Comparing Make vs n8n Features and Use Cases
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