Rethinking Table File Paths with Uber: Lance’s Multi-Base Layout
A tour of Lance's file path design, and how Lance’s new multi-base layout enables multi-location datasets (such as Uber’s multi-bucket setup) with minimal metadata rewrites.
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Keep Your Data Fresh with CocoIndex and LanceDB
Store a multimodal dataset of recipes in LanceDB, a multimodal lakehouse for AI, and keep it fresh with CocoIndex, a declarative data transformation framework for AI with incremental processing capabilities.
Lance × DuckDB: SQL for Retrieval on the Multimodal Lakehouse Format
Use the Lance format as your lakehouse layer for retrieval, RAG and more, with the native Lance extension for DuckDB
One System, Many Workloads: Rethinking What "Multimodal" Means for AI
A practical definition of multimodal complexity, and how LanceDB’s Multimodal Lakehouse is built to address these challenges.
Announcing Lance SDK 1.0.0: What This Milestone Means for the Community
We’re excited to announce that the core Rust SDK and the Python and Java binding SDKs are graduating to version 1.0.0, alongside a new, community-driven release strategy.
From BI to AI: A Modern Lakehouse Stack with Lance and Iceberg
A comparison of where Iceberg and Lance sit in the modern lakehouse stack. We highlight emerging architectures that are bridging the worlds of analytics and AI/ML workloads using these two formats, while being built on the same data foundation.
Lance File 2.1 is Now Stable
The 2.1 file version is now stable, learn what that means for you and what's coming next.
LanceDB's RaBitQ Quantization for Blazing Fast Vector Search
Introducing RaBitQ quantization in LanceDB for higher compression, faster indexing, and better recall on high‑dimensional embeddings.
Building Semantic Video Recommendations with TwelveLabs and LanceDB
Build semantic video recommendations using TwelveLabs embeddings, LanceDB storage, and Geneva pipelines with Ray.