Package python3-module-voyageai: Information

Embedding models are neural net models (e.g., transformers) that convert
unstructured and complex data, such as documents, images, audios, videos, or
tabular data, into dense numerical vectors (i.e. embeddings) that capture their
semantic meanings. These vectors serve as representations/indices for
datapoints and are essential building blocks for semantic search and
retrieval-augmented generation (RAG), which is the predominant approach for
domain-specific or company-specific chatbots and other AI applications.

Package python3-module-voyageai: Information

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