Columnar File Readers in Depth: Structural Encoding

Columnar File Readers in Depth: Structural Encoding

Deep dive into LanceDB's dual structural encoding approach - mini-block for small data types and full-zip for large multimodal data. Learn how this optimizes compression and random access performance compared to Parquet.

What is the LanceDB Multimodal Lakehouse?

What is the LanceDB Multimodal Lakehouse?

Introducing the Multimodal Lakehouse - a unified platform for managing AI data from raw files to production-ready features, now part of LanceDB Enterprise.