Retrieval, RAG & company knowledge Two Red Kites

Use cases

Company knowledge lives scattered across documents, wikis, chat threads and internal systems, so getting a straight answer means hunting through several places or waiting on the one person who remembers. That lag slows onboarding, support and decision-making, and knowledge quietly walks out the door when people leave.

Professional services firm with scattered files

A professional services firm has years of proposals, contracts and project notes scattered across drives, inboxes and a handful of internal tools. Finding a straight answer means pinging someone who might remember, or might not. We would connect that material into one searchable layer and let staff ask a plain question and get an answer with its source cited.
Membership body with regulated document sets

A membership organisation holds policy documents, compliance rules and member records across several systems, and not everyone should see everything in them. Staff search each system separately and hope they've found the current version. We would bring the documents and systems into one knowledge layer with access controls built in, so people only see what they're allowed to.
Operations team fielding the same questions

An operations team keeps answers to routine questions spread across a wiki, a ticketing system and a handful of spreadsheets, so new starters keep asking the same things. We would wire those systems into a single retrieval layer with a plain-language assistant on top, so a question gets answered once, correctly, with a link back to where the answer lives.

What we build

A connected knowledge layer that pulls together documents, internal tools, and systems into one searchable place.
An assistant that answers in plain language and cites where the answer came from.
Access controls so sensitive information only surfaces to people who should see it.
Support for multiple internal systems and document sources feeding the same knowledge layer.
Ongoing indexing so new documents and updates stay searchable without manual re-entry.

How it works

We connect your existing sources, documents, wikis, internal tools, into a single layer an assistant can search, and every answer points back to where it came from so it can be checked, not just trusted blindly.

What you get

Straight answers in seconds instead of hours of searching or waiting on a colleague.
Faster onboarding because new hires can ask questions instead of hunting for documents.
Institutional knowledge stays accessible even as people move roles or leave.
Fewer repeated questions landing on the same few people.

Is this you?

The real answer to a question lives in someone's head or a scattered set of documents.
New team members take weeks to find the information they need.
Your team searches multiple tools and still isn't sure they found the current version.
Support or ops staff repeatedly answer the same questions from existing documentation.

Services & tools we’ve used

MCPKnowledge graph

Where we’ve applied it

Our own toolingClient knowledge bases

Proof

We're building this for our own company knowledge first and extending the same approach to client knowledge bases, so it's proven internally before it reaches client systems.

Retrieval, RAG & company knowledge

Use cases

Professional services firm with scattered files

Membership body with regulated document sets

Operations team fielding the same questions