Embeddings & Vector SearchQdrant

Qdrant announces a $50 million Series B

Announced a $50 million Series B — put forward the concept of composable vector search (combining dense and sparse vectors, metadata filters, multivectors and custom scoring at query time). 250 million cumulative downloads

Why it matters

The counterargument of the dedicated vector DB camp. A direct reply to integrated options (Postgres, Elasticsearch)

Source — Primary sources first; secondary reports are labelled “Press”

Officialqdrant.techhttps://qdrant.tech/blog/series-b-announcement/

Added in Week 35, 2026 · See that week

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Nearby on the same axis

Google makes Gemini Embedding 2 generally available (GA)OfficialVoyage AI launches the Voyage 4 model familyOfficialElastic publishes vector search benchmarksOfficialCohere launches Rerank 4Official