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AIPersonal Project

MeteoRAG

Intelligent weather assistant with RAG combining real-time INMET API data with LLMs for natural language queries.

Screenshot MeteoRAG
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The Problem

Weather data scattered across technical APIs without user-friendly interfaces, making quick queries about current and historical conditions difficult.

The Solution

Complete ingestion pipeline with deterministic chunking, semantic retrieval and LLM response generation. Deployed via Kubernetes with CI/CD on GitHub Actions, monitoring with Prometheus and Grafana.

Result

End-to-end RAG pipeline in production with automated Kubernetes deployment, GitHub Actions CI/CD, Prometheus/Grafana monitoring and natural language weather responses for MG.