LanceDB
LanceDB is a columnar vector database optimized for real-time AI use cases and analytics workloads, providing efficient vector storage and fast similarity search.
About this tool
LanceDB
LanceDB is an open source, developer-friendly columnar vector database optimized for real-time AI use cases and analytics workloads. It is designed to efficiently store vectors and provide fast similarity search, making it suitable for multimodal AI applications.
Features
- Open Source & Developer Friendly: Easily integrates into existing data and AI toolchains.
- Embedded Database: Can be installed in seconds and deployed anywhere, similar to SQLite or DuckDB.
- Native Object Storage Integration: Supports native integration with object storage for scalable data handling.
- Scalable to Zero: Efficiently scales down when not in use to save resources.
- Blazing Fast Performance: Capable of searching billions of vectors in real-time, even on a laptop.
- Cost Effective Scalability: Scales to billions of vectors and petabytes of multimodal data (text, images, video) at a low cost.
- Multimodal Support: Handles various data types for AI, such as text, images, and videos.
- Advanced Retrieval: Supports hybrid vector and full-text search, rich metadata filters, and custom reranking.
- Streaming Training Data: Enables direct streaming of training data from object storage to maximize GPU utilization.
- Rich Ecosystem Integration: Compatible with data processing frameworks like Spark and Ray for large-scale data ingestion.
- Powered by Lance Format: Uses a new columnar format optimized for AI workloads, offering up to 100x speed improvement over Parquet for certain tasks.
- Security & Compliance: LanceDB Cloud is SOC2 Type II and HIPAA certified.
Pricing
- LanceDB Cloud: Currently in private beta. Pricing details are not disclosed; early access can be requested.
- LanceDB Open Source: Available for free as open source software.
Category
- Vector Database Engines
Tags
- vector-search
- real-time
- analytics
- ai
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