Our search finds content by meaning, not just by keywords. A question worded nothing like your documents still finds the right answer.
Get a demoCustomers never phrase a question the way your documentation phrases the answer. Keyword search fails here: if the words don't match, nothing is found.
Semantic search solves this. It compares meaning, not spelling. A visitor asks: "Can I get my money back?" And finds your text: "Refunds are processed within 5–7 business days." Not a single word in common — and still exactly the right answer.
How does that work? Every piece of your content is converted into a so-called vector — a mathematical fingerprint of its meaning. We store these in PostgreSQL with the pgvector extension, a proven, widely used database technology.
For you this means: no extra systems to run, fast answers even with large collections, and all data hosted in Germany.
Semantic search does the groundwork for the whole platform. When the chat or your website chatbot answers a question, this search finds the right content first. It works best when the content is well prepared — that's the job of smart chunking. And everything you add — Q&A pairs, web pages, documents — is searched together.
Your content is split into pieces of the right size, with source and page number preserved. That is the groundwork for precise, complete answers.
Write the questions your customers really ask — and the exact answers you want given. The fastest way to a working knowledge base.
Every answer comes from your own material and links back to its source, so nothing is invented and anyone can check it in seconds.
Point Mindmore at your website and it reads every page, so visitors and staff get clear answers around the clock — with a link to the exact page.
Book a personalised demo — we'll walk you through it.