Dive Deep into Clone Primitives in Lance Format

A deep dive into shallow_clone, deep_clone, multi‑base management, and the underlying protocol.

🛡️ Newly Knighted Lancelot, ▶️TwelveLabs Semantic Video Recommendations, 🧠Cognee's AI Memory Layer with LanceDB

🛡️ Meet the Newly Knighted Lancelot

In May, we announced 3 new members to join our Lancelot …

Introducing Lance Data Viewer: A Simple Way to Explore Lance Tables

A lightweight open source web UI for exploring Lance datasets, viewing schemas, and browsing table data with vector visualization support.

How Cognee Builds AI Memory Layers with LanceDB

How Cognee uses LanceDB to deliver durable, isolated, and low-ops AI memory from local development to managed production.

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.

Netflix’s Media Data Lake ❤️ LanceDB, CodeRabbit 💼 Case Study, Lance Namespace

Our September newsletter highlights LanceDB powering Netflix's Media Data Lake, a case study on CodeRabbit's AI-powered code reviews, and updates on Lance Namespace and Spark integration.

Setup Real-Time Multimodal AI Analytics with Apache Fluss (incubating) and Lance

Learn how to build real-time multimodal AI analytics by integrating Apache Fluss streaming storage with Lance's AI-optimized lakehouse. This guide demonstrates streaming multimodal data processing for RAG systems and ML workflows.

Productionalize AI Workloads with Lance Namespace, LanceDB, and Ray

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.