CONNECTED TO WHAT YOU HAVE
We index your knowledge where it lives now: a help desk, a policy library, a shared drive, a document system, or a database. Nobody migrates anything.
SEARCH THAT KNOWS WHAT YOU MEAN.
Your team types someone got hurt on the job
. The answer is an article called Recording injuries on the OSHA 300 log
. They share no words, so keyword search finds nothing. Semantic search ranks it first.
We set up semantic search on your own documents, connected to the systems you already use, on servers you control. The engine on this page is the real thing.
LIVE · MEANING METER
SAME MEANING. DIFFERENT WORDS.
Type two phrases. The model turns each one into 768 numbers and scores how close they are in meaning, even when they share no words.
LIVE · SEARCH SHOWDOWN
SAME QUESTION. TWO ENGINES.
Keyword search looks for your words. Semantic search looks for your meaning. Ask the sample compliance help center a question, or paste in your own documents and search those.
KEYWORD SEARCH FINDS WORDS. YOUR PEOPLE ASK QUESTIONS.
Most search boxes match words. That is true of help desks, intranets, shared drives, and document systems. If the policy says "separation of employment" and an employee asks about quitting, keyword search has nothing to match. The policy might as well not exist.
So people stop searching. They ask whoever knows. That is usually your most senior person, answering the same question for the tenth time.
Or they guess. In compliance work, a guess is how a filing deadline gets missed.
The knowledge is there. The search is what fails.
WHAT WE SET UP FOR YOU.
Semantic search on your documents, in your systems, on servers you control. The engine above is the same kind we install. Yours reads your knowledge base.
SEARCH WHERE PEOPLE WORK
A search box in your intranet or help center, or an API that your own software can call. Put it in front of clients too, on a public help center.
ON SERVERS YOU CONTROL
The model runs on your server or in your own cloud account. Your documents never go to an outside AI service. This demo works the same way.
ALWAYS CURRENT
New and changed documents go into the index automatically. Search does not fall behind the documents.
TESTED ON YOUR QUESTIONS
We collect real questions from your team and check that the right document comes back first. We chose the model in this demo the same way.
SHOWS ITS SOURCE
Every result points to the passage that matched, so people can check the answer. In the demo, that is the highlighted sentence.
WHAT IT CHANGES.
Your senior people stop being the search engine.
The questions that interrupt them all day go to the documents first.
New hires find answers in their first week.
They do not need to know what a policy is called to find it.
Clients help themselves.
A help center that understands plain questions answers them before they become tickets.
People stop working from memory.
When the right policy is easy to find, fewer answers are wrong.
WHY NOW.
IT RUNS ON AN ORDINARY SERVER.
The model in this demo is a 110 MB file. It needs no GPU, and there is no fee for each search. The cost is the setup, not a subscription that grows with use.
EVERY AI ASSISTANT NEEDS IT FIRST.
An assistant that answers from your documents must find the right documents before it can answer. That step is search. When search misses, the assistant answers from nothing, or it makes something up. Get search right, and an assistant is a small next step.
THE PILE KEEPS GROWING.
Every year adds policies, memos, and tickets. The more documents you have, the less a keyword can tell them apart, and the more time people lose looking.
LIVE · MEANING MAP
EVERY WORD HAS A PLACE.
3,610 words, placed by a model that read 6 billion words of Wikipedia and news. Nobody told it what goes together. The colors are clusters it found on its own. Click a word to see its neighbors.
LIVE · WORD MATH
KING − MAN + WOMAN = ?
Subtract one meaning, add another, and see where you land. The arrow from "man" to "king" is roughly the arrow from "woman" to "queen."
LIVE · CHALLENGE
CAN YOU THINK LIKE THE MODEL?
Guess the word an equation lands on, or write your own equation to hit a target. The model is the referee, and the best scores go on the leaderboard.
HOW IT GOES.
The same process as everything we build: you see it working on your own documents before you pay for it.
- 01
SHOW US WHERE IT HURTS
Tell us where your knowledge lives and which questions people keep asking. This targeting exercise costs you nothing.
- 02
SEE IT ON YOUR DOCUMENTS
We build a working prototype on a sample of your own documents. You test it with your own questions before you commit to anything.
- 03
PUT IT TO WORK
We connect it to your systems, keep the index current, and put search where your people already work. The date we give you is the date you get.
COMMON QUESTIONS
Do our documents leave our control?
No. The model runs on your server or in your own cloud account, and no text goes to an outside AI service. This demo runs the same way, on our server.
Do we have to replace the system we use now?
No. We read from the systems you already have and add better search to them. Your documents stay where they are.
Is this a chatbot?
No. A chatbot writes an answer. Semantic search finds the documents that hold the answer and shows the passage that matched. Most document chatbots use search like this as their first step, so it is also the foundation if you want an assistant later.
Does exact-word search go away?
No. Form numbers, policy IDs, and client names still need exact matches. A good setup uses both kinds of search and combines the results. Ask the demo "Form 5500 extension" to see where keyword search does well.
What does it take to run?
For the document collections most small firms have, one ordinary server is enough. This demo runs in one Node.js process with no GPU.
What do you need from us to start?
A sample of your documents and a list of questions your people ask. The targeting exercise takes it from there.
Updated
BRING US THE PROBLEM. SEE YOUR OWN DOCUMENTS SEARCHED BY MEANING.
A targeting exercise that costs you nothing, then a working prototype on your own documents before you sign anything.