Knowledge & RAG

RAG Knowledge Bot

Your internal knowledge base, made instantly queryable.

A retrieval-augmented AI assistant that answers employee questions by searching your actual documents — SOPs, policies, wikis, and shared drives — and citing the source for every answer.

Best for: Operations teams and similar teams

Workflow Pipeline
Inputs
PDFs and Word documentsSOPs and policy manualsNotion pages
AI Agent
Process and structure dataApply validation rulesPrepare for human review
Outputs
Source-cited answersRelevant document excerptsKnowledge gap reports
Human review before any action
The Problem

Employees waste time hunting through SharePoint, Confluence, Notion, and Google Drive looking for answers that are buried in documents. Knowledge gaps cause errors, delays, and repeated questions to the same few people.

RAG Knowledge Bot is built to automate the repetitive parts of this workflow — so your team spends time on decisions and outcomes, not on manual coordination and data entry.

How It Works

From raw input to structured output.

Input Sources

PDFs and Word documents
SOPs and policy manuals
Notion pages
Confluence spaces
SharePoint sites
Google Drive folders
Internal wikis
HR handbooks

Output Artifacts

Source-cited answers
Relevant document excerpts
Knowledge gap reports
Unanswered question logs
Usage analytics
Escalation alerts
FAQ summaries
Core Features

Built to handle the workflow end-to-end.

01
Retrieval-augmented generation
02
Source citation on every answer
03
Multi-document search
04
Knowledge gap detection
05
Usage analytics dashboard
06
Human escalation routing
07
Document sync and refresh
08
Role-based access control
Human-in-the-Loop

AI prepares. Humans decide.

RAG Knowledge Bot does not take autonomous action on sensitive business processes. The agent prepares, structures, drafts, routes, and recommends — but humans review and approve before anything critical moves forward.

Every deployment includes AgentWatch monitoring for quality, cost, and drift — so you maintain visibility and control as the agent scales.

Prepare
Agent ingests inputs, processes data, structures outputs, and flags exceptions.
Review
Human reviews the prepared output, makes edits, and decides what moves forward.
Approve & Act
Approved outputs are exported, routed, or actioned in connected systems.
Monitor
AgentWatch tracks quality, cost, approval rates, and drift — continuously.

Commonly integrated with.

SharePoint
Google Drive
Notion
Confluence
Slack
Microsoft Teams
Zendesk
HubSpot
Intercom
SharePoint
Google Drive
Notion
Confluence
Slack
Microsoft Teams
Zendesk
HubSpot
Intercom
Who It Is For

Built for teams that need results, not experiments.

Operations teams
HR departments
legal teams
IT help desks
customer success teams
and any organisation with large document libraries employees cannot easily search.
Success Metrics

KPIs tracked during every pilot.

We measure actual performance — not demo metrics. These categories are tracked before and after deployment so you can see the real-world impact.

Answer accuracy rate
Time to answer
Support ticket deflection
Knowledge gap identification
Pricing

Scoped to your workflow.

Every deployment is different. Pricing depends on workflow complexity, integration requirements, data readiness, and support level. We scope every engagement before quoting — no surprises.

No fixed packages Custom setup Ongoing support included AgentWatch included

Start with one workflow. Prove the ROI. Then expand.

Every Ikhora product runs on the same platform layer — orchestration, approval, monitoring, and integrations. Start where the ROI is clearest, then build your AI operations infrastructure.