Most chemical businesses are sitting on decades of valuable documentation that is, in practice, unsearchable. The information exists. Finding the right answer at the moment you need it depends on a handful of people who know where things are. That dependency is the problem, and it is a solvable one.
Why archives become unusable
It is rarely one big failure. It is accumulation: files in different formats, saved in different places, named by different conventions, over many years and many people. Each document made sense to whoever filed it. Together they form an archive where the only reliable index is someone's memory, and that memory is exactly what walks out when a long-serving colleague retires.
Storing is not the same as answering
A shared drive stores documents. It does not answer questions. The gap between the two is where all the time goes: you know the answer is in there somewhere, so someone spends twenty minutes finding the right file before they can even start. Keyword search helps a little, but it finds documents, not answers, and only if you already know the right word to search for.
What grounded retrieval gives you
The useful version, in plain terms, does four things:
- An answer to a plain question, drawn from your own documents rather than from a model’s general knowledge.
- A citation with each answer, pointing to the passage it came from, so a person can check it in seconds.
- A way in for people who do not know where the answer lives, which is most people most of the time.
- "I do not have that" when the answer is not in your documents, rather than a confident guess.
This is the same retrieval technology that drafts your questionnaire answers, pointed at your wider archive.
Want your archive to answer questions?
We make your own documents answerable, with a citation on every answer and a person approving. A short technical call, no pitch.
Book a technical callThe limits, honestly
- It retrieves and summarises; it does not judge. A person still decides.
- It is only as good as the documents behind it. Rubbish in, cited rubbish out.
- It is not the record. Your controlled documents remain the source of truth; the system points at them.
- It does not touch anything safety-related, control systems or regulated decisions.
Where to start
Do not try to boil the ocean. Pick one high-frequency question that people currently answer by hunting through files, point grounded retrieval at the relevant documents, and prove it there with a person checking the citations. Once it has earned trust on something you can verify easily, widen the scope. That is the same measured approach we take across the whole cluster of work.
Frequently asked questions
Is this just search?
It is more than keyword search. Keyword search finds documents that contain a word; grounded retrieval finds the relevant passages and answers the question from them, with a citation. But it is not magic, and it does not make decisions.
Do we have to move our documents somewhere?
Not necessarily out of your control. The point is to make what you already hold answerable, with deployment options that keep your data within boundaries you set.
Will it make things up?
A well-built system answers only from your documents and says when it does not have the answer, rather than inventing one. That behaviour is the whole point, and it is what separates it from a general chatbot.
What is a good first use?
A high-volume question people ask constantly and currently answer by hunting through files, such as questionnaire responses or method lookups. Prove it there, keep a person in the loop, and expand.