Operations | Monitoring | ITSM | DevOps | Cloud

Automated RAG pipeline evaluation and benchmarking with RAGAS

Retrieval-Augmented Generation (RAG) pipelines have become an integral part of how Large Language Models (LLMs) access information beyond their training cutoff. These pipelines enable LLMs to deliver current, accurate, and grounded responses. By fetching relevant external documents, RAG mitigates common LLM challenges like factual inaccuracies and hallucinations. However, this methodology introduces a new complexity: evaluating RAG pipeline performance is particularly challenging.

Bridging the Language Gap: AI Tools That Humanize Technical Content for Global Teams

Working on a global team can be exciting. You get to collaborate with people from different cultures, time zones, and perspectives. But it also comes with challenges-especially when technical content doesn't translate well across languages. A single unclear instruction in a manual or a misinterpreted email can lead to delays, extra meetings, or even costly mistakes.

[WEBINAR] From Blueprint to Production: A Live Workshop for Creating an MCP Server for Kubernetes

In this hands-on workshop, we covered how to build your own MCP server from scratch and connect it to AI tools like Cursor IDE or Claude Desktop. The first half is a live coding session you can follow along with to set up an MCP server for Kubernetes troubleshooting. In the second half, we take you behind the scenes at Komodor to show how we built our MCP Server MVP: a powerful bridge between AI assistants and Kubernetes infrastructure. This is just part of the 'magic' that helps the Klaudia agentic AI technology power Komodor's AI SRE Platform.

AI Boom or Bust Session 3: Real-World Use Cases You Can Deploy Today

You’ve seen the vision. You’ve built the blueprint. Now it’s time to put AI to work. In this fast-paced, tactical session, we’ll showcase real-world MSP AI implementations — what’s working, what’s not, and how to adapt these examples to your own business.

AI for Network Leaders by Selector - AI Agents and MCP by John Capobianco

AI Agents & Model Context Protocol John Capobianco, Head of Developer Relations at Selector, dives deep into AI Agents and the Model Context Protocol (MCP). In this session, John demonstrates Selector MCP in action — running as a client-server, connecting multimodal inputs, and even talking to Selector using microphone + TTS audio via Gemini CLI. He also showcases Sebastian Maniak’s Claude Desktop integration, where Selector MCP powers a chatGPT-like UI for network engineers. A practical look at how MCP is transforming AI into a true digital co-worker.

AI for Network Leaders by Selector - Building Your First RAG App by John Capobianco

Building Your First GenAI RAG Application John Capobianco, Head of Developer Relations at Selector, walks through a 6-step process for building your first GenAI RAG application. From foundational building blocks to the path toward full AI agents, RAG remains a powerful tool with huge ROI. Even in a world of autonomous agents and MCPs, RAG is still one of the best ways for network engineers and IT leaders to query dozens of sources and unlock real value.

AI for Network Leaders by Selector - Strategic Imperatives in an AI World by William Collins

Strategic Imperatives for Infrastructure Leaders in an AI-Enabled World William Collins, Director of Technical Evangelism at Itential, explores the strategic imperatives facing infrastructure leaders in today’s AI-enabled world. He unpacks the Gartner Hype Cycle, the true monetary costs of network downtime, and shows how Itential + Selector can close the loop on AIOps with autonomous agents and MCPs.