SERVICESRAG & ENTERPRISE AI SYSTEMSKNOWLEDGE BASE AI (CONFLUENCE, NOTION, SHAREPOINT)
RAG & Enterprise AI Systems

Knowledge Base AI (Confluence, Notion, SharePoint)

Connect your internal wikis, docs, and SOPs to an AI layer so teams can query institutional knowledge in natural language instantly.

01 // THE APPROACH

What you receive

XIYOR does not deliver generic implementations. Every Knowledge Base AI (Confluence, Notion, SharePoint) engagement is scoped, architected, and delivered specifically around your business constraints, technical environment, and growth requirements.

Connect your internal wikis, docs, and SOPs to an AI layer so teams can query institutional knowledge in natural language instantly. We take full responsibility for quality, performance, and security from design through to production deployment.

  • Production-ready deliverables with zero bloat
  • Clean, documented codebase — 100% owned by you
  • Architecture designed for your scale requirements
  • Security-first implementation across every layer
  • Post-launch knowledge transfer and documentation
02 // TECHNOLOGY STACK

Tools & Technologies

LangChainOpenAIPineconeConfluence APISharePoint APIPython
03 // EXECUTION PROCESS

Three-Stage Protocol

STEP 01

Discovery & Scoping

We audit your current setup, define exact deliverables, and produce a technical execution brief within 48 hours.

STEP 02

Engineering & Build

Our core engineers build your solution from first principles — clean code, documented, and tested to production standards.

STEP 03

Handover & Support

Full codebase, documentation, and IP transfer to your team. Optional retained support and monitoring available.

04 // RELATED SERVICES

Also under RAG & Enterprise AI Systems

Start your Knowledge Base AI (Confluence, Notion, SharePoint) project

Submit your project requirements and receive a tailored technical brief within 4 hours.

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