RAG architecture for reliable, auditable AI in Malaysia and Asia.
iKB separates knowledge ingestion, retrieval, policy, model routing, channel delivery, and audit so each AI governance control can be inspected and operated independently.
Controls are explicit at each layer of the AI infrastructure.
Data layer
Connectors, document processing, metadata, content hashing, versioning, provenance capture, and knowledge-graph corpus truth with verified deletion.
Retrieval layer
Agentic tool-selecting retrieval, hybrid search with an exact-phrase floor, reranking, structural anchors, graph evidence fusion, and cross-lingual support.
Policy layer
Topic configuration, prompt versions, guardrails, DLP, retention, moderation, redaction, and permission-gated grounded inference.
Delivery layer
Workspace, web chat, Slack, Teams, WhatsApp, Telegram, API, streaming voice, and one-click document generation using shared controls.
Choose the operating boundary that matches your data, sector, and regulatory posture.
Local document storage and indexing, private relational and semantic data layers, local caching and background processing, and configurable intelligence endpoints mean the core governed knowledge experience keeps working with limited dependence on external SaaS.