/>
Home/ Portfolio/ RAG Knowledge Assistant for Internal Teams
AI Agents · Professional services

RAG Knowledge Assistant for Internal Teams

RAG assistant trained on contracts, SOPs, policies, and project history with citations and access control.

AI AGENTS
70%
fewer internal Slack questions to seniors
3 weeks
faster new-hire ramp
100%
answers cited
The challenge

What the client was facing

Knowledge was scattered across SharePoint, Confluence, Notion, and Outlook archives. Senior staff were the de-facto search engine — every new hire ramped slowly and seniors lost focus time to repeated questions.

What we built

The solution

  • Unified ingestion from SharePoint, Confluence, Notion, and email archives
  • Hybrid retrieval (BM25 + embeddings) with metadata-aware ranking
  • Role-based access control mirroring the source-system permissions
  • Cited answers with snippet previews and one-click open-in-source
In production

What it looks like

Illustrative screens — actual client UI, branding, and data redacted under NDA.

RAG Knowledge Assistant for Internal TeamsSearch internal knowledge…Onboarding checklist for enterprise tierSOP · updated Mar 2025 · 3 citationsGDPR data-handling for support agentsPolicy · 2024-Q4 · 5 citationsRefund process for annual subscriptionsPlaybook · updated Feb 2025 · 2 citationsEngineering on-call escalation matrixRunbook · current · 4 citations
RAG Knowledge Assistant for Internal Teams — analyticsOverview82%Accuracy3.2kItems12Today4.7ScoreTrend
AI-first delivery angle

Why AI-first mattered here

Built around the principle that no answer ships without a citation. The model is constrained to refuse rather than guess. Eval harness re-runs against 150 internal questions weekly.

Technologies

Stack

Python LlamaIndex Qdrant OpenAI FastAPI React

Have a similar problem to solve?

Book a free 30-minute call with a senior engineer. We’ll tell you honestly whether AI-first delivery is the right fit — and what a realistic engagement would look like.

Keep exploring

Other case studies