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Awesome GitHub RepositoriesEmbedding Model Registries
Centralized configurations for mapping data columns to specific embedding models.
Distinct from Vector Embeddings: Focuses on the mapping and registration of models to columns, rather than the generation process itself
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Awesome Embedding Model Registries GitHub Repositories
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- lancedb/lancedb
lancedb/lancedb
9,031Ver en GitHubLanceDB 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
Provides a registry to map source data columns to specific vector embedding models.
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