Rethinking NetOps with Open-Source LLMs & RAG#

Basem Al-Sabri

• Why: LLM copilots for network operations are an emerging subfield, and the data-sovereignty framing (no sensitive configs/logs leaving the organisation) is the specific angle that makes this credible for network operators rather than hype.
• What: A practical architecture combining open-source LLMs with retrieval-augmented generation, grounding model reasoning in the organisation's own knowledge base, configurations, and logs to reduce hallucinations and produce context-aware responses (from abstract only).
• How: Fully open-source components across data ingestion, vector retrieval, inference, and orchestration — giving operators control over data sovereignty and compliance while avoiding vendor lock-in and usage-based fees.
• Where applicable: Any operator, in principle. Early-stage — the abstract describes the architecture and its promises rather than measured results, so the proof will be in any demonstrated accuracy/evaluation shown live.