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Meet Zilliz at AWS re:Invent 2026

Nov 30 to Dec 4, 2026
The Venetian Convention and Expo Center | 201 Sands Avenue Las Vegas, NV 89169

We're back in Las Vegas for AWS re:Invent 2026! Join the team behind Milvus (46K+ GitHub stars) and Zilliz Cloud at booth #840 — get a first look at what we're launching, meet our engineers and founders, and book time to talk through your own build.

Visit booth #840 to meet the Zilliz team

  • Get one-on-one time with the team behind Milvus and Zilliz Cloud. Sit down with our CEO, CTO, and the core Milvus and Zilliz engineers who build the product. Bring your hardest questions on search, retrieval, and scaling.
  • Get a first look at a major product announcement. See what we're unveiling at re:Invent — and what it means for teams building AI on the data they already store in a lake — before it goes public.
  • See live demos. Catch hands-on demos of our newest, most powerful features, running on real workloads.
  • Win a Mac Mini and Labubu dolls during the raffle. We're giving away a Mac Mini, Labubu dolls, and more — plus Zilliz swag to take home.

Book a quick meeting with us

Want more than a booth conversation? Book 30 minutes with our team and get specific about your build.

  • Get an architecture review. Walk us through your setup and where you're stuck, and leave with a concrete solution — not a pitch.
  • Put it to the test. Benchmark your workload — scale, latency, and cost — against Zilliz Cloud with our engineers.
  • Go deep with the engineers. Spend your 30 minutes one-on-one with the people who build Milvus, plus a demo tailored to what you're trying to ship.

Explore how Zilliz powers AI companies

Zilliz Cloud is a fully managed vector lakebase powered by Milvus, trusted by more than 10,000 enterprises worldwide — including Nvidia, Exa, OpenEvidence, Minimax, and Filevine. Teams run it in production for:

  • Semantic, full-text, and hybrid search. Deliver relevance across text, images, and more.
  • RAG and agentic search. Ground your LLM and agents in your own data for accurate, sourced answers.
  • Recommendations. Match users to the right content and products in real time.
  • Agent memory. Give AI agents long-term recall and fast retrieval at scale.

Running one of these in production? Book a meeting and we'll dig into yours.

Ready to talk about what you're building? Fill out the form to request a private, on-site meeting with the Zilliz team. Slots are limited each day, so the earliest requests get the best times. See you in Las Vegas!

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