LanceDB Raises $30M Series A to Build the Multimodal Lakehouse
We have closed another funding round to accelerate development of the Multimodal Lakehouse - a unified platform for AI data infrastructure.
Case Study: Meet Dosu - the Intelligent Knowledge Base for Software Teams and Agents
How Dosu uses LanceDB to transform codebases into living knowledge bases with real-time search and versioning.
June 2025: $30M Series A, Multimodal Lakehouse Launch & Product Updates
LanceDB's June 2025 newsletter covering latest company news, product updates, open source releases, and community highlights.
Columnar File Readers in Depth: Repetition & Definition Levels
Explore columnar file readers in depth: repetition & definition levels with practical insights and expert guidance from the LanceDB team.
Columnar File Readers in Depth: Column Shredding
Explore columnar file readers in depth: column shredding with practical insights and expert guidance from the LanceDB team.
Columnar File Readers in Depth: Compression Transparency
Explore columnar file readers in depth: compression transparency with practical insights and expert guidance from the LanceDB team.
The Future of AI-Native Development is Local: Inside Continue's LanceDB-Powered Evolution
Discover how Continue revolutionized AI-native development with LanceDB's embedded TypeScript library, enabling lightning-fast semantic code search while maintaining complete developer privacy and offline capability.
A Practical Guide to Training Custom Rerankers
Explore a practical guide to training custom rerankers with practical insights and expert guidance from the LanceDB team.
The Future of Open Source Table Formats: Apache Iceberg and Lance
Explore the future of open source table formats: apache iceberg and lance with practical insights and expert guidance from the LanceDB team.
AnythingLLM's Competitive Edge: LanceDB for Seamless RAG and Agent Workflows
Discover how AnythingLLM leveraged LanceDB's serverless architecture to eliminate vector database setup complexity, enabling seamless cross-platform RAG and agent workflows with zero configuration required.
