What if you could analyze real customer feedback or investment commentary from your emails, podcast notes, and transcripts—automatically?
Learn the secrets to AI implementations that actually work:
https://www.makethejump.ai/ai-implementation-handbook
Want someone to build an AI implementation for you? Check out my team here:
https://www.navispect.com/
In this video, we walk through how to build a complete AI-powered system that captures incoming emails, stores the important data in a vector database, and gives you a chatbot interface to query insights—whether you want to summarize customer complaints, track product feedback trends, or just search across your knowledge base.
You'll learn:
How to filter useful content from emails using AI classification
How to store and search that content using vector embeddings
How to build a chatbot agent that understands your data and gives you instant answers
This is like having a private AI research assistant that knows your business inside and out.
Tools Used in This Tutorial:
n8n – https://n8n.io
OpenAI (GPT-4o Mini, Embeddings) – https://platform.openai.com
Pinecone Vector Database – https://www.pinecone.io
Gmail Integration via n8n – https://n8n.io/integrations/google
Hugging Face (alternative free embedding models) – https://huggingface.co
Helpful Links:
Pinecone + OpenAI Quickstart – https://docs.pinecone.io/docs/quickstart
Gmail integration setup in n8n – https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.gmail/
Hugging Face Text Embedding Models – https://huggingface.co/models?pipeline_tag=feature-extraction&sort=downloads
Using Text Classifier node in n8n – https://docs.n8n.io/nodes/n8n-nodes-base.textClassifier/
AI Agent node documentation in n8n – https://docs.n8n.io/nodes/n8n-nodes-base.aiAgent/
Chapters:
00:00 Introduction to AI-Powered Knowledge Systems
00:21 Building the Chat Bot
00:39 Curating Data for Better Results
00:52 Creating the Intake Process
01:08 Accessing and Filtering Emails
02:09 Classifying Product Feedback
03:36 Storing Data in Vector Databases
03:59 Understanding Vector Databases
05:18 Configuring Pine Cone Vector Store
06:20 Inserting Emails into the Database
08:57 Testing the Workflow
12:03 Creating the Chat Bot Interface
15:04 Finalizing the Chat Bot
17:27 Conclusion and Next Steps