AI Answer Library

The questions people actually ask about enterprise AI

One question per page, answered in the first paragraph. Every entry carries a comparison table, the limits of where it applies, a byline and a review date — easy to fact-check, easy to cite.

Should an enterprise knowledge base use RAG or a fine-tuned LLM?

For most enterprise knowledge bases, start with RAG and do not fine-tune first. RAG controls wha…

What is the difference between an AI agent and RPA, and which should a company choose?

The core difference: RPA executes the steps you hard-coded, while an AI agent decides its own ne…

Self-hosted LLM or public API — how do I choose?

Answer the data-residency question first, then do the math. If the data is bound by compliance —…

How do I choose an enterprise AI solution provider?

Focus on three things: what they have actually shipped, who owns the data, and whether you can m…

How much does it cost for a company to self-host a large language model?

The total cost of a self-hosted LLM breaks into three parts — hardware, implementation and ongoi…

What server specs do you need to self-host a large language model?

Size everything backwards from VRAM; the rest is secondary. The rule of thumb is: weight memory …

How accurate can an enterprise RAG knowledge base actually be?

The honest answer: an accuracy number without an evaluation set behind it means nothing. "Accura…

Should a company buy software outright or subscribe to SaaS?

Ask first whether the data may leave your network; only then start comparing prices. If regulati…

Related applicationsContact us