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AI Engineering/Individual · Thesis project

RAG-based Root Cause Analysis.

Making complex systems explainable.

CONTEXTInformation Systems · Telkom University
PROJECT TYPEIndividual · Thesis project
FOCUS
RAGKnowledge RetrievalLog Analysis
RAG RCA · Live operations and AI assistant5G RCA Copilot

Screenshot of the 5G RCA Copilot demo. Displayed dashboard values are demo data, not final thesis evaluation results.

01 /

Understanding the problem.

IT incidents leave clues across logs and fragmented system documentation. Finding relevant context is a demanding part of understanding a failure.

02 /

Connecting the pieces.

An individual engineering project exploring retrieval-augmented generation for root cause analysis: retrieve relevant system knowledge and provide grounded context to an AI assistant.

03 /

Where I contributed.

  • Designing the knowledge retrieval and AI assistant workflow.
  • Exploring knowledge representation and log-analysis integration.
  • Connecting system requirements with an interpretable investigation process.
04 /

Results, with context.

The project focuses on engineering an assistant for IT system analysis. Final evaluation results are not yet published.

Inside the project.

Open a screenshot or supporting document to explore the details.

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