Answers from your documents
It reads policies and manuals, past exam papers, tax records and contracts ahead of time, and answers from that material. This approach is called RAG.
LabRAG
AI RAG
Upload your material, describe it, and your service gets built. Past exam papers, tax records, contracts, internal policies — a RAG engine reads them as they are and answers with the source.
MVP in market
What it does
Takes over repetitive work
Sorting documents, moving them into a fixed format, summarizing and sending the result. Work done the same way every time is handed to AI, and people only check the result.
No answer without a source
Every answer carries the document and the passage it came from. If it is not in the material, it says so.
How it works
From documents to answers
How RAG runs, step by step.
Example
When do I have to settle travel expenses?
Within 7 days of the end of the trip. For overseas trips, the exchange-rate reference date is set separately.
Source: Travel Expense Policy, Art. 12 (2)
An illustration. Real answers depend on the documents you upload.
01
Upload the material
PDF, Word, Excel and PowerPoint, in the format you already have.
02
Describe what it should do
Write how it should be handled in your own words, and it gets built.
03
Answers with the source
It finds the relevant parts in your material, answers, and shows where it came from.
Where it fits
Where it is used
Places with plenty of material that takes time to search, and work done by hand the same way every time.
- Answering questions about internal policies and manuals
- Answering customer questions from product material
- Drafting documents and filling in forms
- Organizing and summarizing scattered material
Who builds it
Experts in the field build it themselves
LabGL builds and keeps the engine, which is why no development knowledge is needed. The person who knows the policy, the tax rules or the exam builds the service their own work needs.
Built in plain words
No code is written.
Write down what to fix, and it is applied
Write down where a result went wrong and how. From the next result on, that standard applies.
Only what a person checked goes out
A result nobody checked is not final. The person who checks it is the expert in that field.
In use
What experts build with LabRAG
Each one is built by an expert in the field, from their own material.
Qraft →
Exam item writing
Feed it past papers and the writing guidelines, and new items come out for practice exams.
TaxFlow →
Tax work
A system that automates year-end tax settlement. It is in development now.
BizFlow →
Company documents
Ask about an internal policy or a contract and it finds the clause and answers. Nobody has to dig through the files.
Questions
What material do you need?
The document files you already use. They do not need to be tidy.
How is this different from LabChure?
It is the same engine. LabChure uses it to build websites; LabRAG connects it to the material you have and builds the service you need.
What if an answer is wrong?
Every answer carries its source, so you can check it on the spot. Write down what was wrong, and the next answers follow that standard.
Curious about the products? Get in touch
We also take demo requests and partnership inquiries.