Janus.Guru

Local LLM and RAG on your own infrastructure

Local and hybrid setups allow processing to run within a chosen infrastructure boundary. The choice depends on data requirements, available resources, workload, and answer quality on control questions.

When it matters

  • sensitive documents
  • data-residency requirements
  • steady high load
  • less dependence on one API provider

What still matters

  • chunking quality
  • source retrieval
  • unsupported-answer refusals
  • control-question evaluation

A practical route

  • pilot on a cloud model
  • compare with a local LLM
  • choose by task class
  • move stable scenarios inside the infrastructure

Frequently asked questions

  • Can a local LLM run in an office or private cloud?
    Yes, when available resources meet the model and workload requirements. A pilot can compare local, cloud, and hybrid routes on the same control questions.
  • Why does a local LLM still need RAG?
    RAG supplies precise collection context and reduces unsupported generation.