A highly scalable real-time log anomaly detection architecture with LLMs, information retrieval, and user feedback to pinpoint faults across a distributed system.
What is the kamui-fin/log-sense GitHub project? Description: "A highly scalable real-time log anomaly detection architecture with LLMs, information retrieval, and user feedback to pinpoint faults across a distributed system.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
Question is copied to clipboard — paste it after the AI opens.
Clone via HTTPS
Clone via SSH
Download ZIP
Download master.zipReport bugs or request features on the log-sense issue tracker:
Open GitHub Issues