Insights · AI · Page 4
AI
insights
Practical notes on AI, newest first.
Five common pitfalls when adopting RAG in the enterprise
Enterprise RAG succeeds when knowledge governance, retrieval design, permissions, evaluation, and operations are treated as core engineering work.
RAG vs fine-tuning: which should companies choose?
Comparing RAG and fine-tuning across cost, maintenance, data security and update frequency — and the order most companies should choose in practice.
Get started
Have a project in mind?
Tell us your industry, current systems and budget range. Free 30-minute consultation.