Dylan Couzon

Developer Relations Engineer @ Qdrant

[Tarun Jain @TRJ_0751]

We moved 400K+ document vectors from Milvus to Qdrant and wrote up the whole thing: https://t.co/IjVt5n7UAd

The post covers how we ran the migration, verified that the data arrived intact, and compared the two on latency, throughput, and memory.

Latency landed in a similar range, @qdrant_engine used noticeably less memory in this workload, and speed depended on concurrency, so it's worth testing with your own query mix.

[Bilge @bilgeycl]

🗽In NYC tonight? @DylanCouzon & @qdrant_engine are hosting a debate night, and @deepset_ai is teaming up

Hear some hot AI takes, get a chance to win prizes, and learn about @Haystack_AI and @qdrant_engine along the way!

https://t.co/FqJTAyZVGv

[Dylan Couzon @DylanCouzon]

@jyriso Qdrant is open source and free forever when self‑hosted, and it works well with coding agents. You can have Claude or Codex install it and run one‑shot benchmarks on your datasets for comparison.

[Haydar Külekci @kulekci]

Qdrant 1.19 brings some interesting new features, and I really like the idea of memory tiers for keeping everything aligned. I haven't had a chance to look into the TurboQuant datatype yet, but I'll get to it.

[Qdrant @qdrant_engine]

How @Bayer built an enterprise search engine for 116,000 employees on Qdrant Hybrid Cloud:1

35M points on 4 nodes. Hybrid search for deep agents. Semantic caching to control agent cost. A measured 20% efficiency gain.

Three years in production, from prototype to platform: https://t.co/rBr3N1n6Tc

[Dylan Couzon @DylanCouzon]

@hasantoxr Thanks for using Qdrant!

[Dylan Couzon @DylanCouzon]

How I use Claude Code and Codex on a daily basis

[Arnab Bhattacharya @Arnab28122000]

Prompt: Let’s design an agentic chat bot for devsupport and customer support teams, create Tickets on JIRA Customer Support and Dev Support boards, auto assign tickets. Read tickets from the email. Use RAG to query previously fixed tickets and help with the answers, if a new tickets comes. Create context for that ticket, an embedding pipeline for rag in vector DB. Let’s consider Qdrant, also add the Solutions in the embedding to query later.

System Design Diagram

[Qdrant @qdrant_engine]

AI has gotten better at reasoning, but it still forgets almost everything.

Join @DylanCouzon from Qdrant and James Le from @twelvelabs on July 28 for an evening dedicated to AI memory, video intelligence, and retrieval systems.

Hear from engineers building production AI systems as they cover:
→ Persistent memory for video AI
→ Collective memory for Edge AI with Qdrant Edge
→ Practical retrieval architectures and live demos

Want to showcase your own project?

We’re also hosting community demos, and only 2 demo slots remain!

If you’re building with AI, retrieval, video intelligence, or agentic workflows, we’d love to have you present your work.

📅 July 28
📍 Bellevue, WA
🎟️ Register here: https://t.co/yPdG3lwcGS

See you there!

[Dylan Couzon @DylanCouzon]

My most honest PR

[KrabArena @krabarena]

@elastic We measured and @qdrant_engine seems more efficient https://t.co/kQSsuEy3bu

[kanungle @kanungle]

The qdrant-advisor skill is now easily installed to any of your coding assistants:

npx skills add qdrant/skills/meta/qdrant-advisor

Installing this one skill keeps your agents primed with the latest skills context for your projects and deployments. Even as we continually improve and add to said skills.

Read more here: https://t.co/uYYGsCUfZS

[Dylan Couzon @DylanCouzon]

@SakshiSugandhi @themishra4402 Thanks :D

[Dylan Couzon @DylanCouzon]

@jreuben1 Shameful title for a piece that spends half its length admitting Qdrant wins on everything except one vendor-supplied throughput number.

[Qdrant @qdrant_engine]

Elastic's benchmark claims Qdrant is 7x slower on disk search. They never enabled the two features built for that workload. We turned them on and found 2x throughput, half the latency, 1/3 the compute.

Read more: https://t.co/cS9wmDgG6i

[Dylan Couzon @DylanCouzon]

@dreyethh @qdrant_engine @kanungle @enochidx @KShivendu_ Thanks for your contribution!

[Dylan Couzon @DylanCouzon]

@ClaudioDrews25 Great work, thanks!

[Dylan Couzon @DylanCouzon]

@jpschroeder How is that different from compiling results from Twitter based on people's sentiment?

[Dylan Couzon @DylanCouzon]

"Opus 4.7 is our smartest model yet"

[Dylan Couzon @DylanCouzon]

Love seeing practical engineering posts. If you’re running @vLLM in production and hitting OOM or unstable load, this guide explains why workload profiling + tuned configs matter more than hardware alone. https://t.co/ItEVhNgGRi @AI21Labs