Building a Local Multimodal Search Engine with Gemma 4 and Qdrant: A Step-by-Step Build Guide
SMRTR summary
A developer built a fully local multimodal search engine that lets users search hours of video, audio, and text using plain language — with no cloud or API keys required. Using Gemma 4 to convert media into text descriptions and Qdrant to store and search the resulting vectors, the system finds exact timestamps across all media types in minutes.
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