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KDE: Akademy 2026 Program and digiKam for Natural Language Search
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The Akademy 2026 Program is now live!
The Akademy 2026 Program is now live!
This year’s Akademy will take place in Graz, hosted at the Graz University of Technology, both in person and online.
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The Model Was Never the Hard Part: Integrating Qwen2.5 into digiKam for Natural Language Search
GSoC 2026 • digiKam • Post 2: Inference, Bugs, and the Build
In my first post, I introduced the goal: type a plain-English search into digiKam and have a local LLM translate it into structured search criteria. That post built the whole pipeline - prompt builder, JSON parser, intent resolver, against a mock backend that returned canned responses, so everything could be tested before a real model was wired in. This post is about swapping that mock for real llama.cpp inference, and everything that broke along the way, which was almost never the model.