Building Your First RAG Application by John Capobianco

Selector’s Head of DevRel, John Capobianco led a technical but accessible walkthrough of Retrieval-Augmented Generation (RAG) — explaining how it bridges the gap between LLMs and real operational data. He broke down RAG’s six steps, showed where it fits in the AI evolution toward agents and MCP, and demonstrated how Selector uses these techniques to power new dashboard summarization features. From chunking and embedding data to ranking, clustering, and summarizing, the talk revealed how RAG underpins trustworthy AI for network operations—and why it’s still essential even with massive context windows and agentic AI on the rise.

What You’ll Learn:
RAG Made Practical: How RAG connects LLMs to live data sources for context-aware, explainable answers that reduce hallucinations.
Beyond Basic RAG: Techniques like RAG Fusion, Raptor trees, and GraphRAG to refine retrievals and generate more accurate insights.
Selector in Action: A look at Selector’s new one-click AI
Selector in Action: A look at Selector’s new one-click AI summarization—turning complex dashboards into simple, human-readable insights.

If you wish to watch the entire day of AI for Network Leaders click here.

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