GURUWhat changes cost
- collection size and quality
- request volume
- context length
- latency requirements
- cloud or local model choice
Janus.Guru
Reduce assistant cost without giving up evidence
The strongest cost lever is usually not the most expensive model. It is a prepared collection, precise retrieval, and clear answer rules.
How Janus.Guru helps
- retrieve relevant fragments first
- send only needed context
- compare models against the same questions
- expose collection weaknesses before scale
What a pilot measures
- real load
- control questions
- cost per answer
- cloud, local, or hybrid decision
Frequently asked questions
- Why can RAG cost less than a generic chat?
The model receives selected fragments rather than the entire document set, reducing context and allowing compact models for suitable tasks. - Can the cost of one answer be estimated?
Yes. A pilot measures context length, request volume, model fit, and operating assumptions.