Service
AI & RAG Systems
Help your people find and use knowledge held across internal documents. We design retrieval-augmented generation systems with access controls, source references and data privacy considered from the outset.
How we approach AI
- 01
Vector DB Architecture
Document embedding storage using tools such as Pinecone, Weaviate or pgvector, mapped to your access model.
- 02
LLM Orchestration
Routing requests intelligently between models (GPT-4, Claude, Llama) based on complexity and cost constraints.
- 03
Data Privacy Guardrails
Controls designed to protect personal data and sensitive intellectual property through appropriate API boundaries and anonymisation.