Deep Seek with Agentic AI Architecture and an Evolving Knowledge Base


Details
In this meetup, we’ll explore how to harness your existing internal knowledge base to boost productivity and operational efficiency within enterprise monitoring teams. We’ll be sharing our recent implementation of DevOps co-pilot—powered by an Agentic AI architecture and backed by a knowledge base in Elasticsearch—which automates many of the common tasks performed by L1 support engineers. The Machine learning demands of this platform are satisfied with a self hosted Deep Seek model.
See how this approach helps:
- Automate Routine Tasks: Offload everyday L1 duties through AI-driven workflows.
- Triage & Troubleshoot: Train Agentic AI models to diagnose, escalate, and resolve incidents more effectively.
- Reduce Noise & Correlate Events: Filter out false positives and correlate related alerts to uncover actionable insights faster.
Whether you’re looking to streamline your support processes or scale your monitoring operations, we’re excited to share a live demo and the insights we’ve gathered along the way. In this open forum, we’ll walk through real-world use cases and best practices for implementing Agentic AI, showing you exactly how we integrated an AI-driven knowledge base into our existing environment. By the end of this meetup, you’ll have a clearer sense of how to leverage these ideas for more seamless, intelligent operations.

Deep Seek with Agentic AI Architecture and an Evolving Knowledge Base