RAG & Knowledge Systems
Build enterprise knowledge systems powered by Retrieval-Augmented Generation for accurate, contextual AI responses.
Key Capabilities
Knowledge Base Construction
Ingest, chunk, embed, and index your enterprise documents into a searchable vector store.
RAG Pipeline Design
Retrieval-Augmented Generation pipelines that ground LLM responses in your actual data.
Hallucination Reduction
Citation tracking, confidence scoring, and guardrails to ensure factual, verifiable outputs.
Multi-Source Integration
Connect SharePoint, Confluence, databases, APIs, and file systems into a unified knowledge layer.
Our Delivery Process
Discover
Stakeholder workshops, system audits, user journey mapping
Design
Solution architecture, prototyping, security design
Build
2-week sprints, CI/CD, automated testing, demo days
Stabilise
Pen testing, load testing, WCAG audits, hardening
Implement
Phased rollout, training, knowledge transfer
Support
24-month warranty, monitoring, continuous improvement
Data Lake Architecture
Ingest, chunk, embed, and index enterprise documents into searchable vector stores.
System Integration
Connect SharePoint, Confluence, databases, and APIs into a unified knowledge layer.
API Security & Authentication
Role-based access, citation tracking, and guardrails for verifiable AI answers.