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Assigning human-readable labels to specific dataset versions for stable referencing.
Distinct from Data Versioning: Focuses on naming specific data versions rather than repository timeline tags.
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LanceDB is a vector database and columnar data store designed to function as a versioned dataset manager and vector search engine. It serves as a high-performance backend for indexing and retrieving high-dimensional embeddings, providing the foundation for machine learning data pipelines. The system distinguishes itself through a combination of cloud-native object storage and immutable version tracking, allowing for data time-travel and reproducible AI experiments. It integrates hybrid search capabilities, merging dense vector similarity with BM25 full-text search and SQL-like scalar filters
Assigns named labels to specific versions of a table to provide stable references.