GeeCON 2025: Patrik Duditš - From Clutter to Clusters: Vector Embeddings for Log File Analysis скачать в хорошем качестве

GeeCON 2025: Patrik Duditš - From Clutter to Clusters: Vector Embeddings for Log File Analysis

Using vector embeddings for Retrieval-Augmented Generation (RAG) is frequently demonstrated these days. However, embeddings have a broader range of applications, including the ability to group similar items together. Log files, with their wealth of information, are an ideal candidate for this approach. By clustering log entries, we can uncover common issues as well as rare conditions within complex systems. This talk will begin with traditional techniques using term vectors and then delve into how modern vector embedding models can enhance log file analysis. We will explore how to build such a processing pipeline, which is often a fun way to start understanding the problems of the system you're dealing with.