Embeddings & Vector SearchQdrant

Qdrant announces a $50 million Series B

Made by AIWritten by AI (Claude) from the source below. Check anything important against the source.How it's made

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

On the map — ⑰ Embeddings line

  1. Previous stopAmazon makes Nova Multimodal Embeddings generally available on Bedrock
  2. This record$50 million Series B
  3. Next stopGoogle makes Gemini Embedding 2 generally available (GA)
See it on the map

Same week

Skill Issue: Harness Engineering for Coding AgentsOfficialllama.cpp merges PR #19769, adding NVFP4OfficialAMI Labs raises $1.03 billion at a $3.5 billion pre-money valuationPress

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