AI Knowledge Base Agent (RAG) by Alireza E radAI Knowledge Base Agent (RAG) by Alireza E rad
AI Knowledge Base Agent (RAG)Alireza E rad
Cover image for AI Knowledge Base Agent (RAG)
Turn your documents, FAQs, and internal knowledge into an AI agent that actually answers questions accurately — instead of a generic chatbot that makes things up.
This system:
Uses Google Sheets as a vector store with real cosine similarity search — no expensive vector database needed
Retrieves the most relevant information before answering, reducing hallucinations
Can trigger real actions like calendar bookings or Slack alerts when it can't answer confidently
Fully editable — update your knowledge base by editing a spreadsheet, no redeployment needed
Built on n8n + OpenAI API + Google Sheets — lightweight, transparent, and yours to keep.
Every project starts with a short call to review your knowledge sources and how the agent should behave before I build anything.
FAQs

Starting at$250
Duration7 days
Tags
Chatbot
N8N
OpenAI
RAG
Vector Search
AI Automation
Business Automation
Business Workflow Automation
Knowledge Base
Service provided by
Alireza E rad Vienna, Austria
1
Followers
AI Knowledge Base Agent (RAG)Alireza E rad
Starting at$250
Duration7 days
Tags
Chatbot
N8N
OpenAI
RAG
Vector Search
AI Automation
Business Automation
Business Workflow Automation
Knowledge Base
Cover image for AI Knowledge Base Agent (RAG)
Turn your documents, FAQs, and internal knowledge into an AI agent that actually answers questions accurately — instead of a generic chatbot that makes things up.
This system:
Uses Google Sheets as a vector store with real cosine similarity search — no expensive vector database needed
Retrieves the most relevant information before answering, reducing hallucinations
Can trigger real actions like calendar bookings or Slack alerts when it can't answer confidently
Fully editable — update your knowledge base by editing a spreadsheet, no redeployment needed
Built on n8n + OpenAI API + Google Sheets — lightweight, transparent, and yours to keep.
Every project starts with a short call to review your knowledge sources and how the agent should behave before I build anything.
FAQs

$250