In this video, we present the concept of embedding models – models that generate text embeddings, which are numerical representations of text that enable semantic search. We provide an overview of different embedding models and discuss the benchmarking of these models (MTEB leaderboard). Additionally, we demonstrate how to use different embedding models, such as OpenAI and Instructor embeddings, and show how to implement them in LlamaIndex.
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