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Beyond chatbots: The wide world of embeddings


The growing popularity of large language models (LLM) has also created interest in embedding models, deep learning systems that compress the features of different data types into numerical representations.

Embedding models are one of the key components of retrieval augmented generation (RAG), one of the important applications of LLMs for the enterprise. But the potential of embedding models goes beyond current RAG applications. The past year has seen impressive advances in embedding…



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