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

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/ 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 o...