# Built an AI-Powered Spring Boot Log Analyzer Using RAG + Ollama

> Source: <https://dev.to/swapnil_shitole_2fc46b932/built-an-ai-powered-spring-boot-log-analyzer-using-rag-ollama-21d7>
> Published: 2026-06-05 08:31:55+00:00

I've been working on a log analysis platform that helps debug Spring Boot applications by analyzing logs and stack traces using RAG.

[https://loganalyzer.xyz/](https://loganalyzer.xyz/)

Tech stack:

Spring Boot

Ollama (Qwen/Llama)

nomic-embed-text embeddings

PostgreSQL + pgvector

It can parse logs, detect exceptions, retrieve similar incidents from a vector database, and explain potential root causes using an LLM.

I'm looking for feedback on the architecture and approach. What would you improve for root-cause analysis of complex Java stack traces?

Demo: [https://loganalyzer.xyz/](https://loganalyzer.xyz/)