FAQ

Frequently asked questions

Answers to common questions about AI Transformation, Data Build, RAG, AI Automation, pricing, and how to get started.

Q1. How is RAG different from a regular chatbot?

A regular chatbot answers from what the model already knows. RAG searches your company documents first and answers based on that evidence.

Q2. Does an assessment alone build an AI system?

No. AX Explore recommends where to start. Data and RAG foundations happen in AX Build, and work features are built in AI Feature Build.

Q3. Do we have to start with an assessment?

No. If your materials and goals are already clear, you can start with AX Build or AI Feature Build. If you are unsure, we recommend AX Explore first.

Q4. Can we upload company documents as-is?

Not usually. You need document cleanup, deduplication, current-version checks, chunking, and metadata design.

Q5. Do you support PDFs and spreadsheets?

Yes. Preprocessing difficulty depends on format and quality.

Q6. Can answers be wrong?

Yes, it is possible. That is why source citations, fallbacks for unknown questions, search quality testing, and answer evaluation matter.

Q7. Can we load all company materials at once?

Technically yes, but we do not recommend it. Prove value with one small workflow through AX Build and AI Feature Build, then expand with AX Scale.