Engineering

Blog category:

Engineering

Productionalize AI Workloads with Lance Namespace, LanceDB, and Ray

Engineering / Jack Ye / September 4, 2025

Learn how to productionalize AI workloads with Lance Namespace's enterprise stack integration and the scalability of LanceDB and Ray for end-to-end ML pipelines.

LanceDB's Geneva: Scalable Feature Engineering

Engineering / Jonathan Hsieh / August 21, 2025

Learn how to build scalable feature engineering pipelines with Geneva and LanceDB. This demo transforms image data into rich features including captions, embeddings, and metadata using distributed Ray clusters.

LanceDB WikiSearch: Native Full-Text Search on 41M Wikipedia Docs

Engineering / David Myriel / August 11, 2025

No more Tantivy! We stress-tested native full-text search in our latest massive-scale search demo. Let's break down how it works and what we did to scale it.

Manage Lance Tables in Any Catalog using Lance Namespace and Spark

Engineering / Jack Ye / August 8, 2025

Access and manage your Lance tables in Hive, Glue, Unity Catalog, or any catalog service using Lance Namespace with the latest Lance Spark connector.

Columnar File Readers in Depth: Structural Encoding

Engineering / Weston Pace / August 7, 2025

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?

Engineering / David Myriel / June 23, 2025

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