Qdrant Tests EmbeddingGemma 2: 77x Memory Compression at 5% Quality Loss

Google DeepMind released EmbeddingGemma 2, the first natively multimodal on-device open embedding model unifying text, code, image, audio and video. Qdrant's early tests show 10 million vectors compressed from 30GB to 0.4GB—a 77x reduction with only 5% quality loss.

2026-10-07 ~ 2026-10-07 · 2 related posts

• Qdrant compresses Google EmbeddingGemma 2 vectors 77x with only 5% quality loss — qdrant_engine · 2026-10-07

1 near-duplicate retellings: qdrant_engine