LanceDB
LanceDB – The Database for Multimodal AI
LanceDB is an open-source, developer-friendly database built for the next generation of AI-driven applications. It enables hyper-scalable vector search, real-time retrieval, and multimodal data streaming, making it the perfect foundation for RAG (Retrieval-Augmented Generation), AI search, and deep learning workflows.
Key Features:
- Blazing-Fast Vector Search – Search billions of vectors in real-time, even on a laptop.
- Cost-Effective Scalability – Handles petabytes of text, images, and videos at a fraction of the cost.
- Seamless AI Integration – Works with Python, Rust, JavaScript, and integrates with Spark and Ray.
- Hybrid Search & Advanced Retrieval – Combines vector, full-text search, and metadata filtering for superior results.
- Multimodal AI Training – Stream training data from object storage, keeping GPU utilization high.
- Serverless & Enterprise-Ready – Available as LanceDB Cloud (fully managed) or self-hosted for full control.
Ideal for:
- Retrieval-Augmented Generation (RAG)
- AI-powered search & recommendation engines
- Autonomous vehicles, streaming AI, and e-commerce
With its innovative columnar storage format (faster than Parquet) and enterprise-grade security (SOC2 & HIPAA certified), LanceDB is trusted by top AI companies to power real-time, multimodal AI applications at scale.
Start free with LanceDB Cloud or deploy locally in seconds.
For more information, visit LanceDB.