AIOps

Silent Comet aims to revolutionize troubleshooting processes and expedite Root Cause Analysis (RCA) resolution without relying on specialized network expertise. It explores how to augment the output of Large Language Models (LLM) with external domain-specific knowledge using Retrieval Augmentation Generation (RAG).

By targeting various domains, whether utilizing the same or different technology stacks for comparison, we establish best practices for building RAG-based solutions, including the evaluation of data sources' usefulness for specific domains, methods for measuring solution quality, and strategies for evolving the knowledge base without compromising solution quality.

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