LanceDB is a hyper-scalable and user-friendly embedded vector database designed for multi-modal AI applications, providing a seamless experience with zero management overhead. Its quick installation and scalability to handle billions of embeddings make it a cost-effective choice for AI development.

The database offers flexible retrieval options, combining vector and full-text search with metadata filters and custom reranking. Utilizing the Lance format, an innovative open-source columnar data format optimized for multimodal AI, LanceDB delivers up to 1000x faster performance than Parquet for AI applications.

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Manya Goyal

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