LanceDB vừa thông báo đã huy động được 11 triệu đô la cho vòng gọi vốn khởi nghiệp để xây dựng một cơ sở dữ liệu AI đa phương tiện mã nguồn mở. Công ty được hậu thuẫn bởi Y Combinator và đang phát triển một cơ sở dữ liệu được thiết kế đặc biệt cho dữ liệu đa phương tiện. LanceDB tích hợp sử dụng định dạng cột Lance mã nguồn mở, một cách lưu trữ dữ liệu được thiết kế cho các nhiệm vụ học máy. Công ty tự tin rằng họ có một cơ sở dữ liệu tích hợp lưu trữ đối tượng nguyên thuỷ, nghĩa là cơ sở dữ liệu được tối ưu hóa cho quản lý dữ liệu AI hiệu suất cao, có thể mở rộng và không lưu trữ trên điện toán đám mây.
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Traditional tabular databases weren’t made for the AI era. They don’t seem capable of handling complex data types like vectors, images, videos and audio at scale. Storing is one thing, but what about retrieving that data? If it’s one file type, then it might be easy pickings, but things get more complicated when dealing with multiple types.
LanceDB is looking to be that resource for the AI world. The Y Combinator-backed company announced on Wednesday that it raised $11 million for its seed round to develop a database specifically fashioned for multimodal data. It’s built using the open-source Lance columnar format, a way of storing data designed for machine-learning tasks. The company boasts it has a database with native object storage integration, meaning it’s optimized for high-performance, scalable and cloud-native AI data management and retrieval.
Developers can use LanceDB in one of three ways: embed it within their existing backend, run it directly from a client application like a Jupyter Notebook, or deploy it as a remote serverless database. Unlike other databases, which run with the client and server as separate processes, LanceDB boasts that it will separate the storage from compute and can be embedded directly in apps.
Midjourney, Character.ai, Airtable, Tubi, Hex, and WeRide are some of the organizations already using the platform. With this newfound capital, LanceDB is expected to further develop its product to help developers convert their AI projects from experimentation to production. Investors in LanceDB’s round include CRV, Y Combinator, Essence VC and Swift Ventures.
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“Multimodal models are the new frontier and forward-thinking AI practitioners need new wave data infrastructure and storage solutions that will permit them to train, update and keep pace with tomorrow’s AI applications,” CRV general partner Murat Bicer says in a statement.
Some of LanceDB’s current commercial offerings include its fully-featured open-source database with Rust, Python and JavaScript SDKs, a hosted serverless solution, and an enterprise product geared towards teams dealing with large datasets and requiring enterprise-grade security features.
