Engineering Notes
RAG & Private AI
From running CaBrain's own stack — Postgres with pgvector and BM25, self-hosted embeddings and reranking — and deciding when data should never leave the building.
Related services
- Private AI: Local LLMs and Private RAG on Your Own InfrastructurePrivate AI for companies whose data cannot leave their infrastructure: local LLMs, private RAG and on-premise AI, designed and run by an engineer who operates this stack himself.
- AI Integration: Add AI to Your Existing Product or BusinessAI integration services for existing products and systems: OpenAI, Gemini, Claude or local models built into your app — with the architecture, evaluation and cost control to run it in production.
- AI Agents Built for Real Business WorkflowsCustom AI agents for business: agents that research, operate tools and complete multi-step work — with memory, guardrails and evaluation, designed by the engineer who builds agent infrastructure.