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.
How Cognee uses LanceDB to deliver durable, isolated, and low-ops AI memory from local development to managed production.
Introducing RaBitQ quantization in LanceDB for higher compression, faster indexing, and better recall on high‑dimensional embeddings.
Build semantic video recommendations using TwelveLabs embeddings, LanceDB storage, and Geneva pipelines with Ray.
How Netflix built a Media Data Lake powered by LanceDB and the Multimodal Lakehouse to unify petabytes of media assets for machine learning pipelines.
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.
LanceDB's June 2025 newsletter covering latest company news, product updates, open source releases, and community highlights.
Introducing the Multimodal Lakehouse - a unified platform for managing AI data from raw files to production-ready features, now part of LanceDB Enterprise.