AI Company Knowledge System from Scratch

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-impleme...

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/buil...
Hugging Face Text Embedding Models – https://huggingface.co/models?pipelin...
Using Text Classifier node in n8n – https://docs.n8n.io/nodes/n8n-nodes-b...
AI Agent node documentation in n8n – https://docs.n8n.io/nodes/n8n-nodes-b...

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