Qdrant Meets Google Gemini Embedding 2 - Qdrant

What this post added

This post details the integration and benefits of Google's Gemini Embedding 2, a natively multimodal embedding model capable of processing text, images, video, and audio into a unified vector space. It highlights Qdrant's ability to store all modalities in a single collection, use named vectors for hybrid strategies, and leverage MRL-friendly architecture for multi-stage retrieval. The post also discusses production-ready features like quantization and payload filtering for scaling multimodal applications.