How Your AI Chatbot Actually Thinks
Learn how MxChat finds answers in your knowledge base
First, Let’s Clear Something Up
Your chatbot doesn’t read your entire knowledge base for every question. That’s like reading a whole encyclopedia just to answer “What time do you open?”
Instead, it uses a smart system called RAG (Retrieval-Augmented Generation). RAG finds only the most relevant pieces of information before writing a response.
How It Works — In 3 Simple Steps
Your Content Gets “Translated” Into Meaning
When you add pages or posts to your knowledge base, MxChat converts each chunk of text. It creates a math-based map of the text’s meaning — not just its words.
Questions Get the Same Treatment
When a visitor asks a question, the system maps that question too. It then finds the closest content on the map. It matches by meaning, not by keywords.
The AI Crafts a Response
The AI receives only the most relevant content chunks. It reads just those pieces and writes a clear, natural answer based on what it found.
See It In Action
This 3D map shows how words and phrases are placed by meaning, not spelling. Similar concepts cluster together. That’s exactly how your chatbot finds relevant content.
What This Means For You
It’s Not Keyword Search
Your chatbot grasps meaning and context. It doesn’t just match exact words. Your content doesn’t need to predict every way someone might ask a question.
Content Quality Matters
Clear, complete content leads to better answers. Write as if you’re talking directly to a customer. The better your content, the better your chatbot performs.
Chunks, Not Whole Pages
Your content is split into small chunks. If key info is spread across many pages, consider grouping it. This helps the chatbot find complete answers faster.
Only Relevant Content Is Used
The AI only sees the most relevant chunks for each question. It doesn’t scan your whole site. This keeps responses fast, focused, and accurate.
