Practical AI Open source, on-disk vector search with LanceDB
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Dec 19, 2023 Chang She, co-founder and CEO of LanceDB, shares insights on their innovative open-source vector search solution. He discusses how LanceDB’s columnar database structure supports serverless deployments, leading to cost savings without sacrificing performance. The conversation delves into the integration of Rust for improved safety and efficiency, and the exciting possibilities of language agnosticism in AI tools. Chang also touches on future applications of AI in autonomous technologies, highlighting the evolving landscape of data management.
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LanceDB's Pivot to Vector Databases
- Chang She, CEO of LanceDB, initially focused on computer vision data infrastructure.
- Generative AI's rise shifted their focus to vector databases.
Challenges of Multimodal Data
- Building data infrastructure for multimodal AI projects is challenging.
- Managing unstructured data like images and videos alongside tabular data is difficult with traditional tools.
LanceDB's Distinguishing Features
- LanceDB is embedded, enabling in-process operation in Python and JavaScript.
- It uses a novel columnar storage format (Lance) for efficient data management beyond vectors.