And that’s a wrap of Vector Space Stream! 🎉
We spent 4+ hours going deep into vector search, from token-native storage and vector compression to robotics, new embedding geometries, dual encoders, adaptive hybrid search, billion-scale evaluation, and compute/storage separation.
When financial search needs both meaning and precision, hybrid search becomes interesting.
Satyam Sahu explores this with Qdrant using dense embeddings, BM25, and SPLADE across 47 SEC filings from 10 tech companies.
A practical look at where different retrieval approaches work,
A research agent that gets better from its own run history.
At n8n in the loop 2026, @itsclelia, DevRel Engineer at Qdrant, will show how to build a self-healing research agent that learns from its own run history, without fine-tuning.
The setup is simple:
→ The agent runs
A reminder that we’ve got an amazing series of events lined up for you all next week
We’ve got three community events happening across September 16-17:
→ Sep 16: Discord Office Hours, Virtual
An open discussion with the Qdrant team. No fixed agenda, bring your questions, share
