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Executes similarity searches on datasets hosted in remote object stores without downloading them locally.
Distinct from Vector Search: Distinct from Vector Search by specifically addressing the remote execution over URIs to avoid data movement.
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Awesome Remote GitHub Repositories
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- lancedb/lancedb
lancedb/lancedb
9,031Auf GitHub ansehenLanceDB 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
Performs vector and full-text searches on remote datasets via URIs without requiring local downloads.
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