Data & AI
RAG Knowledge Assistants
We build retrieval-augmented generation (RAG) assistants that let your team ask questions in plain English and get answers grounded in your own documents, policies, and internal knowledge — not a generic AI guessing, and not another wiki nobody reads.
What We Build
Knowledge Assistant Capabilities
AI that answers from what your organisation actually knows — not the open internet.
Document & Wiki Search
Ask a plain-English question and get an answer pulled from your policies, SOPs, product docs, or internal wiki — with the source cited.
Onboarding & Training Assistants
New hires get instant, accurate answers to "how do we handle X" without interrupting a colleague or digging through outdated docs.
Product & Support Knowledge Bases
Support teams (or customers directly) get accurate answers grounded in your actual product documentation and past resolved tickets.
Multi-Source Retrieval
Pulling answers from a mix of sources — PDFs, Notion, Confluence, Google Drive, internal databases — in one unified assistant.
Access-Controlled Knowledge
Assistants that respect your existing permissions — an employee only gets answers grounded in documents they're allowed to see.
Continuous Knowledge Sync
The assistant's knowledge stays current automatically as your source documents change — no manual re-indexing required.
How We Work
Our RAG Assistant Delivery Process
From auditing where your knowledge actually lives to a trusted, accurate assistant.
Knowledge Source Audit
Mapping where your organisation's real knowledge lives — which docs, wikis, and systems actually matter.
Access & Permissions Mapping
Understanding who should be able to see what, so the assistant never surfaces something a user shouldn't have access to.
Retrieval Architecture Design
Designing how documents get indexed and retrieved so answers stay accurate as your knowledge base grows.
Build & Ground the Assistant
Building the assistant with citations back to source documents, so every answer can be verified, not just trusted blindly.
Accuracy Testing
Testing against real questions your team actually asks, checking for both correct answers and honest "I don't know" responses.
Launch & Knowledge Sync
Going live with automatic syncing so the assistant's knowledge never drifts out of date with your real documents.
Why SharpLogic
Why organisations choose us for RAG assistants
Grounded, cited answers
Every answer traces back to a real source document — no unverifiable AI guesses presented as fact.
Respects your access rules
The assistant never shows a user information their existing permissions wouldn't already let them see.
Stays current automatically
No manual re-indexing — the assistant's knowledge updates as your real documents change.
Deployed where your team works
Slack, Teams, your intranet, or a standalone app — wherever your team will actually use it.
Industries We Serve
Knowledge assistants across every sector
Stop searching, start asking
Ready to build your knowledge assistant?
Tell us where your team's knowledge is scattered — we'll show you what asking it a question could look like.