Your documents as a source of truth
PDFs, contracts, SOPs, tickets, SharePoint and Drive become a single searchable knowledge base. Nothing has to be rewritten or migrated first — we ingest what you already have.
Knowledge, grounded
RAG Knowledge Systems
Turn your documents into a cited AI assistant that answers from your material — not from guesswork.
What this looks like
The work, concretely.
Cited answers
Every answer points back to the document and section it came from, so staff can verify it in one click. That citation trail is what makes the difference between a demo and something a team will trust.
Always current
As documents are added or revised, the index updates, so answers reflect the current version rather than last quarter's file. Superseded material stops surfacing.
Staff or customer facing
The same knowledge layer can power an internal assistant for your team or a customer-facing one on your site, with access rules deciding which material each audience can reach.
How we work
A process built for this service.
- 01
Sources
We identify the documents and systems that hold your real knowledge.
- 02
Ingest
Content is extracted, cleaned and chunked, with permissions preserved.
- 03
Index
Chunks are embedded into a vector index built for fast, relevant recall.
- 04
Retrieve
Each question pulls the passages that actually answer it.
- 05
Answer
The model responds from those passages, with citations attached.
Start with a pilot
No client name to point at — yet.
We'd rather prove this on your own material than point at someone else's project — a pilot on one document set shows you the answer quality immediately.
Talk to us about a pilotPlatforms & tools
OpenAIClaudeGeminiVector databasesSharePointGoogle Drive
Start a conversation
Let’s build.
Book a free 30-minute discovery call. We’ll map your biggest time-wasters and show you what can be built or automated.
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