We even gave a sneak peek of our multimodal lakehouse vision, and demoed a live app showing what’s possible when search meets art. Huge thanks to the Let’s Build a Startup! team at AWS for hosting and moderating such a fun and insightful session:.👏 Hosts: Giuseppe Battista and.

We talked about:.🚀 Why AI workloads demand a new foundation, and the recent growth in unstructured data. 🧑‍💻 How we grew LanceDB as an open source project and turned it into a thriving business. 🔍 How multimodal data — text, images, video, audio, even 3D — requires smarter.

What does it take to grow from idea to $30M Series A?. We joined @AWSstartups Let’s Build a Startup! this week to share our journey with LanceDB — and how we’re making a difference. Check out the Blog:

Big congratulations to @matthausk and the @dltHub team on launching your new platform! . You’re solving a real pain point. Python developers should build and maintain reliable pipelines, dashboards, and reports without needing a whole data team. Read More:

RT @matthausk: 🚀 Excited to announce @dltHub, a LLM-native data engineering platform for Python devs! Build & run dlt pipelines, deliver en….

Joining our host Giuseppe Battista and Kevin Shafer-Morrison from AWS, and @changhiskhan CEO of LanceDB, and hear about how LanceDB’s AI-Native Multimodal Lakehouse powers GenAI leaders like @midjourney , @character_ai, @runwayml, @harvey__ai and more.

📢 Live Twitch tomorrow with @AWSstartups and LanceDB! 📢.@awscloud 𝗟𝗲𝘁'𝘀 𝗕𝘂𝗶𝗹𝗱 𝗮 𝗦𝘁𝗮𝗿𝘁𝘂𝗽 is coming to its third season! We are excited to be the guest of the first episode to kick off the season! Together we're going to learn what it takes to build an

RT @ovaistariq: @lancedb + @TigrisData makes it easier to build AI apps on petabyte-scale, multimodal data. Store, search, and process t….

📢We are hiring! .Check the openings here: Please read the JD carefully, and send your resume to Jobs@lancedb.com if you see a good fit.

It's official! Welcome Jim Apple to the @lancedb team!

RT @charles_irl: q from the audience: "Is Lance the next big thing in data?". answer: "Yes". 👀.

Welcome to the team @OnlyXuanwo !

Thanks for @charles_irl , live from NY! Ethan from @runwayml is giving lots of love for LanceDB!

If you’ll be at #VLDB in London this year, let’s connect. We’d love to chat about the future of vector-native, composable data systems. 📄 Read the paper: 📅 Conference: CDMS Workshop @ VLDB 2025.

5️⃣ It’s all open source—and built to power the next generation of AI and multimodal systems. This lives somewhere between:.🧱 A modern table format designed for AI workloads.➽ A search-native interface that treats composability as a first-class citizen.

3️⃣ Enter LanceDB — a modular API modeled after PyArrow datasets, but extended for search and remote access. Defined via Apache Arrow and Substrait, it works with local files and remote tables, without hardcoding assumptions about infrastructure. 4️⃣ This architecture flips the.

From Storage Format to Search-Ready System:. 1️⃣ It starts with Lance, a new columnar file format built for fast random access and minimal memory overhead—perfect for retrieval use cases. 2️⃣ On top of that, we layer the Lance table format: hybrid scan + search, with secondary.

@westoncpace will present how we’re rethinking the storage layer for AI-native, retrieval-based workloads—where search meets scan, and data isn’t just structured rows but multimodal and massive.

🚨 LanceDB is going to #VLDB!🚨. We’re excited to share that our paper was accepted to the #CDMS workshop at #VLDB 2025! . This venue has become the epicenter for innovation in data systems—and we’re thrilled to contribute to the conversation.

2️⃣ On top of that, we layer the Lance table format: hybrid scan + search, with secondary indices and smart 2D layouts to avoid costly data copies. 3️⃣ Enter LanceDB — a modular API modeled after PyArrow datasets, but extended for search and remote access. Defined via Apache.