AI Knowledge Base
An AI-powered knowledge base that turns any website into a searchable, conversational assistant using automated crawling and vector search.
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problem
As websites and documentation grow, finding accurate information becomes harder. Users are forced to manually search through multiple pages, while support teams answer the same questions repeatedly. Traditional chatbots struggle because they lack context and don’t understand the actual content of a website. The result is slow answers, inconsistent information, and a poor user experience.
solution
I built an AI-powered knowledge base that turns any website into a searchable, conversational assistant. The system automatically crawls a site, structures its content, and stores it in a vector database so an AI agent can retrieve only the most relevant information when answering questions. By combining website crawling, vector search, and an AI chat interface, this solution delivers accurate, context-aware answers directly from the source content without manual tagging or maintenance.
This project started as an exploration into how AI could make information easier to access without rebuilding existing systems. Instead of creating new documentation or training a chatbot by hand, I focused on using the website itself as the source of truth.
By designing a retrieval-augmented generation (RAG) workflow in n8n, I was able to automate the entire process — from crawling and processing content to powering an AI assistant with real context and memory. The result is a reusable system that can be applied to documentation sites, internal knowledge bases, and customer support tools.
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see also
