
Why a RAG project starts with preparing knowledge, not choosing a model
RAGnar and the RAGnar Knowledge Processor show why a good AI system starts with tidy preparation of documents, chunks and sources.
Short texts from lab work and projects, written for people who have to run these systems.

RAGnar and the RAGnar Knowledge Processor show why a good AI system starts with tidy preparation of documents, chunks and sources.

A strong prompt is not a clever sentence. It is a well-shaped input: goal, context, audience, format and constraints.

Good inputs, a clear data structure and human review often matter more than the story that "AI does everything on its own."

The value does not end at launch. The real improvement comes when a system becomes more stable, measurable and easier to monitor.

If the team cannot see what is happening in the system, every new feature can simply add more problems that nobody notices in time.
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